Journal articles: 'Incremental dynamic analysis'

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Vamvatsikos, Dimitrios, and C. Allin Cornell. "Incremental dynamic analysis." Earthquake Engineering & Structural Dynamics 31, no. 3 (2002): 491–514. http://dx.doi.org/10.1002/eqe.141.

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Lachanas, Christos G., and Dimitrios Vamvatsikos. "Rocking incremental dynamic analysis." Earthquake Engineering & Structural Dynamics 51, no. 3 (December 13, 2021): 688–703. http://dx.doi.org/10.1002/eqe.3586.

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Vamvatsikos, Dimitrios, and C. Allin Cornell. "Applied Incremental Dynamic Analysis." Earthquake Spectra 20, no. 2 (May 2004): 523–53. http://dx.doi.org/10.1193/1.1737737.

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We are presenting a practical and detailed example of how to perform incremental dynamic analysis (IDA), interpret the results and apply them to performance-based earthquake engineering. IDA is an emerging analysis method that offers thorough seismic demand and capacity prediction capability by using a series of nonlinear dynamic analyses under a multiply scaled suite of ground motion records. Realization of its opportunities requires several steps and the use of innovative techniques at each one of them. Using a nine-story steel moment-resisting frame with fracturing connections as a test bed, the reader is guided through each step of IDA: (1) choosing suitable ground motion intensity measures and representative damage measures, (2) using appropriate algorithms to select the record scaling, (3) employing proper interpolation and (4) summarization techniques for multiple records to estimate the probability distribution of the structural demand given the seismic intensity, and (5) defining limit-states, such as the dynamic global system instability, to calculate the corresponding capacities. Finally, (6) the results can be used to gain intuition for the structural behavior, highlighting the connection between the static pushover (SPO) and the dynamic response, or (7) they can be integrated with conventional probabilistic seismic hazard analysis (PSHA) to estimate mean annual frequencies of limit-state exceedance. Building upon this detailed example based on the nine-story structure, a complete commentary is provided, discussing the choices that are available to the user, and showing their implications for each step of the IDA.

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dos Santos, Ketson R. M., Ioannis A. Kougioumtzoglou, and André T. Beck. "Incremental Dynamic Analysis: A Nonlinear Stochastic Dynamics Perspective." Journal of Engineering Mechanics 142, no. 10 (October 2016): 06016007. http://dx.doi.org/10.1061/(asce)em.1943-7889.0001129.

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Mofid, Massood, Panam Zarfam, and Babak Raiesi Fard. "On the modal incremental dynamic analysis." Structural Design of Tall and Special Buildings 14, no. 4 (2005): 315–29. http://dx.doi.org/10.1002/tal.271.

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Vamvatsikos, Dimitrios. "Performing incremental dynamic analysis in parallel." Computers & Structures 89, no. 1-2 (January 2011): 170–80. http://dx.doi.org/10.1016/j.compstruc.2010.08.014.

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Christovasilis, Ioannis P., Andre Filiatrault, Michael C. Constantinou, and Assawin Wanitkorkul. "Incremental dynamic analysis of woodframe buildings." Earthquake Engineering & Structural Dynamics 38, no. 4 (April 10, 2009): 477–96. http://dx.doi.org/10.1002/eqe.864.

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A., Zafeirakos, Gerolymos N., and Drosos V. "Incremental dynamic analysis of caisson–pier interaction." Soil Dynamics and Earthquake Engineering 48 (May 2013): 71–88. http://dx.doi.org/10.1016/j.soildyn.2013.01.021.

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Asgarian, Behrouz, Mahmood Yahyai, M. Mirtaheri, Hamid Rahmani Samani, and Pejman Alanjari. "Incremental dynamic analysis of high-rise towers." Structural Design of Tall and Special Buildings 19, no. 8 (May 20, 2009): 922–34. http://dx.doi.org/10.1002/tal.518.

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Goda, Katsuichiro. "Record selection for aftershock incremental dynamic analysis." Earthquake Engineering & Structural Dynamics 44, no. 7 (October 22, 2014): 1157–62. http://dx.doi.org/10.1002/eqe.2513.

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Liu, Tong, Fuwang Xu, Qinghe Wang, and Huaiyu Xu. "Incremental dynamic analysis of underground subway station structure." E3S Web of Conferences 293 (2021): 03007. http://dx.doi.org/10.1051/e3sconf/202129303007.

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Incremental dynamic analysis constitutes the basis of seismic performance evaluation and seismic vulnerability assessment. In this paper, a typical two-story three-span subway station structure is selected as an example structure and its incremental dynamic analysis procedure are presented, including selection of ground motion, intensity measure and limit state determination. The incremental dynamic analysis procedure provided in this study can be a basis for further study on seismic design for underground structural systems.

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Sun, Liyue, Qingshuang Zhao, He Wang, Jie Jin, and Chuankun Li. "Incremental Dynamic Analysis of Guangyue Tower Timber Structure." IOP Conference Series: Earth and Environmental Science 719, no. 2 (April 1, 2021): 022011. http://dx.doi.org/10.1088/1755-1315/719/2/022011.

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Wang, Xuerui, Erik-Jan van Kampen, Qiping Chu, and Peng Lu. "Stability Analysis for Incremental Nonlinear Dynamic Inversion Control." Journal of Guidance, Control, and Dynamics 42, no. 5 (May 2019): 1116–29. http://dx.doi.org/10.2514/1.g003791.

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Zhou, Ying, Pinglan Ge, Jianping Han, and Zheng Lu. "Vector-valued intensity measures for incremental dynamic analysis." Soil Dynamics and Earthquake Engineering 100 (September 2017): 380–88. http://dx.doi.org/10.1016/j.soildyn.2017.06.014.

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Lagaros, Nikos D. "Multicomponent incremental dynamic analysis considering variable incident angle." Structure and Infrastructure Engineering 6, no. 1-2 (February 2010): 77–94. http://dx.doi.org/10.1080/15732470802663805.

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Dolsek, Matjaz. "Incremental dynamic analysis with consideration of modeling uncertainties." Earthquake Engineering & Structural Dynamics 38, no. 6 (May 2009): 805–25. http://dx.doi.org/10.1002/eqe.869.

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Ahmadi, Hamid Reza, Navideh Mahdavi, and Mahmoud Bayat. "Applying Adaptive Pushover Analysis to Estimate Incremental Dynamic Analysis Curve." Journal of Earthquake and Tsunami 14, no. 04 (February 27, 2020): 2050016. http://dx.doi.org/10.1142/s1793431120500165.

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To estimate seismic demand and capacity of structures, it has been suggested by researchers that Incremental Dynamic Analysis (IDA) is one of the most accurate methods. Although this method shows the most accurate response of the structure, some problems, such as difficulty in modeling, time-consuming analysis and selection of the earthquake records, encourage researchers to find some ways to estimate the dynamic response of structures by using static nonlinear analysis. The simplicity of pushover analysis in evaluating structural nonlinear response serves well as an alternative to the time-history analysis method. In this paper, based on the concepts of the displacement-based adaptive pushover (DAP), a new approach is proposed to estimate the IDA curves. The performance of the proposed method has been investigated using 3- and 9-story moment-resisting frames. In addition, the results were compared with exact IDA curves and IDA curves developed by the modal pushover analysis (MPA) based method. For evaluation, IDA curves with 16%, 50% and 84% fractile were estimated. Using the results, [Formula: see text] capacities corresponding to Collapse Prevention (CP) limit state were calculated and assessed. Finite element modeling of the structures has been carried out by using ZEUS-NL software. Based on the achieved results, the proposed approach can estimate the capacity of the structure accurately. The significant advantage of the applied approach is the low computational cost and desirable accuracy. The proposed approach can be used to develop the approximate IDA curves.

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Han, Sang Whan, and Anil K. Chopra. "Approximate incremental dynamic analysis using the modal pushover analysis procedure." Earthquake Engineering & Structural Dynamics 35, no. 15 (2006): 1853–73. http://dx.doi.org/10.1002/eqe.605.

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Chaudhari, Archana Yashodip, and Preeti Mulay. "Cloud4NFICA-Nearness Factor-Based Incremental Clustering Algorithm Using Microsoft Azure for the Analysis of Intelligent Meter Data." International Journal of Information Retrieval Research 10, no. 2 (April 2020): 21–39. http://dx.doi.org/10.4018/ijirr.2020040102.

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Intelligent electricity meters (IEMs) form a key infrastructure necessary for the growth of smart grids. IEMs generate a considerable amount of electricity data incrementally. However, on an influx of new data, traditional clustering task re-cluster all of the data from scratch. The incremental clustering method is an essential way to solve the problem of clustering with dynamic data. Given the volume of IEM data and the number of data types involved, an incremental clustering method is highly complex. Microsoft Azure provide the processing power necessary to handle incremental clustering analytics. The proposed Cloud4NFICA is a scalable platform of a nearness factor-based incremental clustering algorithm. This research uses the real dataset of Irish households collected by IEMs and related socioeconomic data. Cloud4NFICA is incremental in nature, hence accommodates the influx of new data. Cloud4NFICA was designed as an infrastructure as a service. It is visible from the study that the developed system performs well on the scalability aspect.

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Millslagle, Duane, Anna DeLarosby, and Sara VonBank. "Incremental Exercise in Dynamic Visual Acuity." Perceptual and Motor Skills 101, no. 2 (October 2005): 657–64. http://dx.doi.org/10.2466/pms.101.2.657-664.

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As research is limited the purpose of this study was to investigate dynamic visual acuity while cycling at different exercise loads. Accuracy of dynamic visual acuity scores of 20 college-age participants was analyzed by a repeated-measures analysis of variance which indicated improved dynamic visual acuity during cycling as the intensity of exercise increased. A retention test conducted two days after testing yielded evidence of trainability of dynamic visual acuity. In the discussion findings were compared to other visual functions associated with exercise.

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Zhou, Ying, and Mengjie Li. "An Area-based Intensity Measure for Incremental Dynamic Analysis." Journal of Asian Architecture and Building Engineering 14, no. 2 (May 2015): 451–57. http://dx.doi.org/10.3130/jaabe.14.451.

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Azarbakht, Alireza, and Matjaž Dolšek. "Progressive Incremental Dynamic Analysis for First-Mode Dominated Structures." Journal of Structural Engineering 137, no. 3 (March 2011): 445–55. http://dx.doi.org/10.1061/(asce)st.1943-541x.0000282.

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Masaeli, Hamid, Faramarz Khoshnoudian, and Saman Musician. "Incremental dynamic analysis of nonlinear rocking soil-structure systems." Soil Dynamics and Earthquake Engineering 104 (January 2018): 236–49. http://dx.doi.org/10.1016/j.soildyn.2017.09.013.

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Moon, Ki-Hoon, Sang Whan Han, Tae Sup Lee, and Seung Wook Seok. "Approximate MPA-based method for performing incremental dynamic analysis." Nonlinear Dynamics 67, no. 4 (November 24, 2011): 2865–88. http://dx.doi.org/10.1007/s11071-011-0195-z.

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Mohraz, Bijan, Fawzi E. Elghadamsi, and Chi-Jen Chang. "An incremental mode-superposition for non-linear dynamic analysis." Earthquake Engineering & Structural Dynamics 20, no. 5 (1991): 471–81. http://dx.doi.org/10.1002/eqe.4290200507.

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Al Mamun, Abdullah, and Murat Saatcioglu. "Seismic fragility analysis of pre-1975 conventional concrete frame buildings in Canada." Canadian Journal of Civil Engineering 45, no. 9 (September 2018): 728–38. http://dx.doi.org/10.1139/cjce-2017-0238.

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Fragility analysis was conducted for reinforced concrete frame buildings in Canada designed based on the 1965 National Building Code of Canada as representative of pre-1975 era of seismic design practice. Two-, five-, and ten-storey buildings were designed for Vancouver and Ottawa, representing buildings in high and medium seismic regions. They were modelled for inelastic response time history analysis, with respective inelastic hysteretic models for flexure and shear. Software PERFORM-3D was used to conduct incremental dynamic analysis under incrementally increasing earthquake intensity. Probabilistic analysis of the results of incremental dynamic analysis led to the development of fragility functions, which can be used as seismic vulnerability assessment tools. The results are compared with those generated for frame buildings designed on the basis of the 2010 NBCC. The comparison indicates that the probabilities of exceeding performance levels are significantly higher for older buildings relative to recently built fully ductile and moderately ductile buildings, respectively.

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Liu, Tong, Zhiyi Chen, Yong Yuan, and Xiaoyun Shao. "Fragility analysis of a subway station structure by incremental dynamic analysis." Advances in Structural Engineering 20, no. 7 (October 12, 2016): 1111–24. http://dx.doi.org/10.1177/1369433216671319.

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Fragility analysis constitutes the basis in seismic risk assessment and performance-based earthquake engineering during which the probability of a structure response exceeding a certain limit state at a given seismic intensity is sought to relate seismic intensity and structural vulnerability. In this article, the seismic vulnerability assessment of a subway station structure is investigated using a probabilistic method. The Daikai subway station was selected as an example structure and its seismic responses are modeled according to the nonlinear incremental dynamic analysis procedure. The limit states are defined in terms of the deformation and waterproof performance of the subway station structure based on the central column drift angle and the structural tension damage distribution obtained from the incremental dynamic analysis. Fragility curves were developed at those limit states and the probability of exceedance at the limit states of operational, slight damage, life safety, and collapse prevention was determined for the two seismic hazard levels. Results reveal that the proposed fragility analysis implementation procedure to the subway station structure provides an effective and reliable seismic vulnerability analysis method, which is essential for these underground structural systems considering their high potential risk during seismic events.

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Liu, Zhixi, Guangming Zhao, Xiangrui Meng, Ruofei Zhang, Dong Chunliang, and Wensong Xu. "Energy Analysis Method for Uniaxial Compression Test of Sandstone under Static and Quasi-Dynamic Loading Rates." Advances in Materials Science and Engineering 2021 (June 14, 2021): 1–11. http://dx.doi.org/10.1155/2021/9933243.

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To investigate the energy evolution characteristics of sandstone under static-quasi-dynamic loading rates (1.0 × 10−3, 5.0 × 10−3, 1.0 × 10−2, 5.0 × 10−2, and 1.0 × 10−1 mm/s), the uniaxial compression tests, the uniaxial cyclic loading-unloading tests, and the uniaxial incrementally cyclic loading-unloading tests were conducted under five different loading rates. Through analysis of the elastic energy of the uniaxial cyclic loading-unloading test and the uniaxial incremental cyclic loading-unloading test, show that the impact of the loading rate and the cycle numbers on the elastic energy is less. Hence, we can deem that when the loads of the uniaxial incremental cyclic loading-unloading test and the uniaxial compression test are equal, the elastic energy of the two also equals. The energy in the uniaxial compression tests analyzed by the uniaxial incrementally cyclic loading-unloading test show that elastic energy increased linearly when the input energy increased under different loading rates. Through the linear energy storage law and the uniaxial incremental cyclic loading and unloading test, it is possible to analyze the energy in the uniaxial compression test at any loading rates. The results show that the greater the loading rate, the greater the peak elastic energy and peak input energy. But when the load is equal, the greater the loading rate, the smaller the input energy and elastic energy. Compared with traditional methods, the new energy analysis method is accurate and simple. Meanwhile, based on energy dissipation, the damage of rock during uniaxial compression tests was studied.

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Jiang, Xin Tong, Bin Wang, Wei Kai Li, and Hong Wei Zhu. "Inductance Parameter Simulation Analysis and Measurement of Permanent Magnet Synchronous Motors." Advanced Materials Research 651 (January 2013): 931–36. http://dx.doi.org/10.4028/www.scientific.net/amr.651.931.

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Inductance is an important parameter of PMSM due to its direct impact on the dynamic performance, especially on the precise control of the system. In this paper, an improved calculation method for the incremental inductance of motor winding is adopted, and a data processing technique is presented. Nonlinear incremental inductance of the motor winding was tested with the dynamic hysteresis loop method. The validity of the parameters FEM simulation results was confirmed by the measuring method. Accordingly, a mathematical model of nonlinear incremental inductance of SPMSM was built which provides a practical gist to determine uncertainty range of inductance parameter.

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Bergami, Alessandro Vittorio, Camillo Nuti, Davide Lavorato, Gabriele Fiorentino, and Bruno Briseghella. "IMPAβ: Incremental Modal Pushover Analysis for Bridges." Applied Sciences 10, no. 12 (June 22, 2020): 4287. http://dx.doi.org/10.3390/app10124287.

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In the present study, the incremental modal pushover analysis (IMPA), a pushover-based approach already proposed and applied to buildings by the same authors, was revised and proposed for bridges (IMPAβ). Pushover analysis considers the effects of higher modes on the structural response. Bridges are structurally very different from multi-story buildings, where multimodal pushover (MPA) has been developed and is currently used. In bridges, consideration for higher modes is often necessary: The responses of some structural elements of the bridge (e.g., piers) influence the overall bridge response. Therefore, the failure of these elements can determine the failure of the whole structure, even if they give a small contribution total base shear. Incremental dynamic analysis (IDA) requires input accelerograms for high intensities, which are rare in the databases, while scaling of generated accelerograms with a simple increment of the scaling acceleration is not appropriate. This fact renders IDA, which is by its nature time-consuming, not straightforward. On the contrary, the change of input spectrum required by IMPA is simple. IMPAβ also utilizes a simple complementary method coupled to MPA, to obtain bounds at very high seismic intensities. Finally, the two incremental methods based on static nonlinear and dynamic nonlinear analyses are compared.

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Bahramirad, Asghar, Mohsen Tehranizadeh, and Amir Moshref. "Equating incremental dynamic analysis with static nonlinear analysis at near-field excitation." Earthquake Engineering and Engineering Vibration 14, no. 3 (September 2015): 465–76. http://dx.doi.org/10.1007/s11803-015-0037-y.

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Moradi, Saber, and M. Shahria Alam. "Incremental Dynamic Analysis of Shape Memory Alloy Braced Steel Frames." Applied Mechanics and Materials 680 (October 2014): 263–66. http://dx.doi.org/10.4028/www.scientific.net/amm.680.263.

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Incremental Dynamic Analysis (IDA) is a technique to determine the overall seismic performance of structures under varied intensities of earthquakes. In this paper, the seismic performance of four-story steel braced frames equipped with superelastic Shape Memory Alloy (SMA) braces is assessed by performing IDA. The seismic response of SMA-braced frames was compared to that of corresponding Buckling-Restrained Braced Frames (BRBFs). Based on the results of this comparative study, the SMA-braced frames were generally effective in reducing maximum interstory drifts and permanent roof deformations. In addition, the SMA-braced frames demonstrated more uniform drift distribution over the height of the building. As the intensity of earthquake excitation increases, a higher response reduction can be expected for SMA-braced frames.

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Bernuzzi, Claudio, Davide Rodigari, and Marco Simoncelli. "Seismic performance of MR steel frames via Incremental Dynamic Analysis." ce/papers 4, no. 2-4 (September 2021): 1924–31. http://dx.doi.org/10.1002/cepa.1505.

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Nik Azizan, Nik Zainab, Taksiah A. Majid, Fadzli Mohamed Nazri, Damodar Maity, and Junaidah Abdullah. "Incremental Dynamic Analysis of Koyna Dam under Repeated Ground Motions." IOP Conference Series: Materials Science and Engineering 318 (March 19, 2018): 012021. http://dx.doi.org/10.1088/1757-899x/318/1/012021.

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Zacharenaki, Athanasia, Michalis Fragiadakis, Dominic Assimaki, and Manolis Papadrakakis. "Bias assessment in Incremental Dynamic Analysis due to record scaling." Soil Dynamics and Earthquake Engineering 67 (December 2014): 158–68. http://dx.doi.org/10.1016/j.soildyn.2014.09.007.

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Giovanis, Dimitris G., Michalis Fragiadakis, and Vissarion Papadopoulos. "Epistemic uncertainty assessment using Incremental Dynamic Analysis and Neural Networks." Bulletin of Earthquake Engineering 14, no. 2 (November 9, 2015): 529–47. http://dx.doi.org/10.1007/s10518-015-9838-7.

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Zheng, Zhi, Changhai Zhai, Xu Bao, and Xiaolan Pan. "Seismic capacity estimation of a reinforced concrete containment building considering bidirectional cyclic effect." Advances in Structural Engineering 22, no. 5 (October 25, 2018): 1106–20. http://dx.doi.org/10.1177/1369433218806034.

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This study serves to estimate the seismic capacity of the reinforced concrete containment building considering its bidirectional cyclic effect and variations of energy. The implementation of the capacity estimation has been performed by extending two well-known methods: nonlinear static pushover and incremental dynamic analysis. The displacement and dissipated energy demands are obtained from the static pushover analysis considering bidirectional cyclic effect. In total, 18 bidirectional earthquake intensity parameters are developed to perform the incremental dynamic analysis for the reinforced concrete containment building. Results show that the bidirectional static pushover analysis tends to decrease the capacity of the reinforced concrete containment building in comparison with unidirectional static pushover analysis. The 5% damped first-mode geometric mean spectral acceleration strongly correlates with the maximum top displacement of the containment building. The comparison of the incremental dynamic analysis and static pushover curves is employed to determine the seismic capacity of the reinforced concrete containment building. It is concluded that bidirectional static pushover and incremental dynamic analysis studies can be used in performance evaluation and capacity estimation of reinforced concrete containment buildings under bidirectional earthquake excitations.

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Yang, Yunjie, Xiangyang Wang, Jihong Zhu, Xiaming Yuan, and Xiaojun Zhang. "Robust proportional incremental nonlinear dynamic inversion control of a flying-wing tailsitter." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 234, no. 16 (May 26, 2020): 2274–95. http://dx.doi.org/10.1177/0954410020926657.

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Tailsitter unmanned aerial vehicles are utilized extensively nowadays since they merge advantages of both fixed-wing unmanned aerial vehicles and rotary-wing unmanned aerial vehicles. However, their attitude control suffers from unknown nonlinearities and disturbances due to the wide flight envelope. To solve the problems, a robust attitude controller based on a newly designed flying-wing tailsitter is proposed in this paper. By employing the angular acceleration feedback to compensate unmodeled dynamics, the proportional incremental nonlinear dynamic inversion control law is first developed. The proportional incremental nonlinear dynamic inversion strengthens the conventional nominal gain incremental nonlinear dynamic inversion with a proportional term to reflect the change of the angular acceleration more directly. Therefore, the tailsitter has a quicker response and performs better in suppressing model uncertainties and external disturbances. Since the angular acceleration is difficult to measure in practice, an angular acceleration estimation method is then established to provide accurate signals for the proportional incremental nonlinear dynamic inversion. The signals are derived as complementary results of model prediction method and direct differential method. Theoretical analysis and systematic simulations are conducted to corroborate the effectiveness of the developed estimation method as well as the robustness of the proposed controller.

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Bergami, Alessandro Vittorio, Liu Xu, and Camillo Nuti. "Proposal of a Modal Pushover Based Incremental Analysis." Applied Mechanics and Materials 847 (July 2016): 333–38. http://dx.doi.org/10.4028/www.scientific.net/amm.847.333.

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Existing reinforced concrete frame buildings designed for vertical load only could suffer severe damage during earthquakes. In recent years, many research activities have been paid to develop reliable and practical analysis procedure to identify the safety level of existing structures. The research discussed in this paper deals with proposal of an efficient incremental procedure to estimate seismic capacity of irregular structures performing few pushover analysis (one for every relevant modal shape) and applying a series of Modal Pushover Analysis (MPA). This approach, similar to the Incremental Dynamic Analysis (IDA), replaces the Nonlinear Response History Analyses (NL_RHA) by simple pushover analyses. In this work, this idea, named IMPA (Incremental Modal Pushover Analysis), is proposed for a 3D complex building and this application is described and discussed.

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Xing, Hongping, Xiaodan Sun, Yu Liu, Jinzhen Lin, and Huilai Song. "Exceeding Probability of Earthquake-Induced Dynamic Displacement of Rail Based on Incremental Dynamic Analysis." Sustainability 14, no. 19 (September 21, 2022): 11871. http://dx.doi.org/10.3390/su141911871.

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When an earthquake occurs, it can strongly shake high-speed railway bridges. Consequently, the dynamic displacement of the rail on the bridge may exceed the allowable standard. However, few studies have evaluated the probability of rail displacement exceeding the allowable standard, compared to the rich variety of research on the vulnerability of other components of the high-speed railway track-bridge system or other structures. In this paper, incremental dynamic analysis (IDA) is applied to calculate the exceeding probability of rail displacement under different earthquake excitations. A finite element model (FEM) of a high-speed railway track-bridge system is established, which consists of a finite length CRTS II ballastless track laid on a five-span simply supported girder bridge. Records from five stations in the PEER NGA−West2 strong ground motion dataset are selected as seismic excitation. Based on the simulation, the characteristics of the vertical displacement of the rail under different seismic excitations are investigated, and the probability of the vertical displacement of the rail exceeding the allowable standard is calculated using IDA. The results show that: (1) the vertical displacement of the rail above the abutment is significantly smaller than that above other parts of the bridge; (2) the vertical irregularity of the rail caused by earthquakes has a wavelength close to the length of a simply supported girder; (3) under some excitations, two bumps are observed in the Fourier displacement spectrum in the frequency range of 1.3–2.5 Hz and 10–12 Hz, respectively, which may indicate the resonance of the model to the excitation; and (4) the vertical displacement amplitude probability of the rail exceeding 2 mm is 44%, 89%, and 99% when PGA = 0.01 g, 0.20 g, and 0.40 g, respectively. The exceeding probability of the rail above the mid-span is larger than that above other parts of the bridge. Within the mid-span, the exceeding probability of the rail is the largest above the center of the bridge.

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Nilsson, Mikael, Jonas Kvarnström, and Patrick Doherty. "EfficientIDC: A Faster Incremental Dynamic Controllability Algorithm." Proceedings of the International Conference on Automated Planning and Scheduling 24 (May 11, 2014): 199–207. http://dx.doi.org/10.1609/icaps.v24i1.13646.

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The exact duration of an action generally cannot be predicted in advance. Temporal planning therefore tends to use upper bounds on durations, with the explicit or implicit assumption that if an action happens to be executed more quickly, the plan will still succeed. However, this assumption is often false: If we finish cooking too early, the dinner will be cold before everyone is at home and can eat. Simple Temporal Problems with Uncertainty (STPUs) allow us to model such situations. An STPU-based planner must then verify that the networks it generates are executable, captured by the property of dynamic controllability. The FastIDC algorithm can do this incrementally during planning. In this paper we show that the FastIDC method can result in traversing part of a temporal network multiple times, with constraints slowly tightening towards their final values. We then present a new algorithm that uses additional analysis together with a different traversal strategy to avoid this behavior. The new algorithm has a guaranteed time complexity lower than that of FastIDC and is proven sound and complete.

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Xu, S., and S. D. Yu. "FINITE ELEMENT ANALYSIS OF DYNAMIC CONTACT PROBLEMS." Transactions of the Canadian Society for Mechanical Engineering 22, no. 4B (December 1998): 533–47. http://dx.doi.org/10.1139/tcsme-1998-0031.

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This paper presents a finite element analysis of dynamic contact between two solids with and without surface friction. The finite element solutions obtained using the linear complementary equations of incremental form for kineo-elastic displacements and contact stresses satisfy both normal boundary conditions and contact boundary conditions. Three examples solving dynamic contact between two solids of different shapes are given. Numerical results indicate that there is excellent agreement between independent analytical solution and results obtained using CONTACT2D - a computer written in FORTRAN77 by the authors.

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Naji, Arash. "Robustness of steel moment frames against progressive collapse by means of plastic limit analysis." International Journal of Structural Integrity 11, no. 2 (October 2, 2019): 264–76. http://dx.doi.org/10.1108/ijsi-06-2019-0051.

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Purpose Progressive collapse refers to a phenomenon, in which local damage in a primary structural component leads to total or partial structural system failure, without any proportionality between the initial and final damage. Robustness is a measure that demonstrates the strength of a structure to resist progressive collapse. Static pushdown and nonlinear dynamic analysis were two main procedures to calculate the capacity of structures to resist progressive collapse. According to previous works, static analysis would lead to inaccurate results. Meanwhile, capacity analysis by dynamic analysis needs several reruns and encountering numerical instability is inevitable. The purpose of this paper is to present the formulation of a solution procedure to determine robustness of steel moment resisting frames, using plastic limit analysis (PLA). Design/methodology/approach This formulation utilizes simplex optimization to solve the problem. Static pushdown and incremental dynamic methods are used for verification. Findings The results obtained from PLA have good agreement with incremental analysis results. While incremental dynamic analysis is a very demanding method, PLA can be utilized as an alternative method. Originality/value The formulation of progressive collapse resistance of steel moment frames by means of PLA is not proposed in previous research works.

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Qin, Bin. "A dynamic knowledge base and its data compression with homomorphism." Journal of Intelligent & Fuzzy Systems 41, no. 6 (December 16, 2021): 6331–41. http://dx.doi.org/10.3233/jifs-210136.

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In reality there are always a large number of complex massive databases. The notion of homomorphism may be a mathematical tool for studying data compression in knowledge bases. This paper investigates a knowledge base in dynamic environments and its data compression with homomorphism, where “dynamic” refers to the fact that the involved information systems need to be updated with time due to the inflow of new information. First, the relationships among knowledge bases, information systems and relation information systems are illustrated. Next, the idea of non-incremental algorithm for data compression with homomorphism and the concept of dynamic knowledge base are introduced. Two incremental algorithms for data compression with homomorphism in dynamic knowledge bases are presented. Finally, an experimental analysis is employed to demonstrate the applications of the non-incremental algorithm and the incremental algorithms for data compression when calculating the knowledge reduction of dynamic knowledge bases.

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Ehab Safwat, Weiguo Zhang, Ahmed Kamel, and Mohamed Kassem. "Robustness Analysis of Modified Incremental Nonlinear Dynamic Inversion for Small UAVs." Automatic Control and Computer Sciences 54, no. 2 (March 2020): 128–38. http://dx.doi.org/10.3103/s0146411620020078.

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Karami, Fereshteh, and Mehdi Izadpanah. "Incremental inelastic dynamic damage analysis of MRRCFs infilled with masonry panels." Journal of Building Engineering 44 (December 2021): 103282. http://dx.doi.org/10.1016/j.jobe.2021.103282.

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Rodríguez, Jhordy, Saif Aldabagh, and M. Shahria Alam. "Incremental Dynamic Analysis–Based Procedure for the Development of Loading Protocols." Journal of Bridge Engineering 26, no. 11 (November 2021): 04021080. http://dx.doi.org/10.1061/(asce)be.1943-5592.0001785.

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Wang, Qiu Wei, Qing Xuan Shi, and Jin Jie Men. "Seismic Performance Evaluation of SRC Frames Based on Incremental Dynamic Analysis." Advanced Materials Research 163-167 (December 2010): 4331–35. http://dx.doi.org/10.4028/www.scientific.net/amr.163-167.4331.

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Incremental dynamic analysis (IDA) is an effective method for evaluation of seismic performance of building structures. Based on the principle and characteristics of IDA method, evaluation steps of investigating deformation and ductility of steel reinforced concrete (SRC) structures under increasing earthquake loading are put forward. Limit states of different performance levels for structures are connected with IDA curve slope whose decrease amplitude is determined according to current test data. Based on the proposed constitutive model of steel and concrete, a regular steel reinforced concrete frame structure is analyzed with IDA method, and distribution of story drift angle and ductility for four performance levels are investigated. The calculation results show that the SRC frame has better seismic performance when subjected to random earthquake waves.

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Mander, John B., Rajesh P. Dhakal, Naoto Mashiko, and Kevin M. Solberg. "Incremental dynamic analysis applied to seismic financial risk assessment of bridges." Engineering Structures 29, no. 10 (October 2007): 2662–72. http://dx.doi.org/10.1016/j.engstruct.2006.12.015.

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Pan, Jianwen, Yanjie Xu, and Feng Jin. "Seismic performance assessment of arch dams using incremental nonlinear dynamic analysis." European Journal of Environmental and Civil Engineering 19, no. 3 (September 18, 2014): 305–26. http://dx.doi.org/10.1080/19648189.2014.960950.

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Journal articles on the topic 'Incremental dynamic analysis'

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