Academic literature on the topic 'HyMOD'

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Journal articles on the topic "HyMOD"

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Tian, Yifei, Lihua Xiong, Bin Xiong, and Ruodan Zhuang. "A Prior Estimation of the Spatial Distribution Parameter of Soil Moisture Storage Capacity Using Satellite-Based Root-Zone Soil Moisture Data." Remote Sensing 11, no. 21 (November 3, 2019): 2580. http://dx.doi.org/10.3390/rs11212580.

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Integration of satellite-based data with hydrological modelling was generally conducted via data assimilation or model calibration, and both approaches can enhance streamflow predictions. In this study, we assessed the feasibility of another approach that uses satellite-based soil moisture data to directly estimate the parameter β to represent the degree of the spatial distribution of soil moisture storage capacity in the semi-distributed Hymod model. The impact of using historical root-zone soil moisture data from the Soil Moisture Active Passive (SMAP) mission on the prior estimation of the parameter β was explored. Two different ways to incorporate the root-zone soil moisture data to estimate the parameter β are proposed, i.e., one is to derive a priori distribution of β , and the other is to derive a fixed value for β . The simulations of the Hymod models employing the two ways to estimate β are compared with the results produced by the original model, i.e., the one without employing satellite-based data to estimate the parameter β , at three study catchments (the Upper Hanjiang River catchment, the Xiangjiang River catchment, and the Ganjiang River catchment). The results illustrate that the two ways to incorporate the SMAP root-zone soil moisture data in order to predetermine the parameter β of the semi-distributed Hymod model both perform well in simulating streamflow during the calibration period, and a slight improvement was found during the validation period. Notably, deriving a fixed β value from satellite soil moisture data can provide better performance for ungauged catchments despite reducing the model freedom degrees due to fixing the β value. It is concluded that the robustness of the Hymod model in predicting the streamflow can be improved when the spatial information of satellite-based soil moisture data is utilized to estimate the parameter β .
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Quan, Z., J. Teng, W. Sun, T. Cheng, and J. Zhang. "Evaluation of the HYMOD model for rainfall–runoff simulation using the GLUE method." Proceedings of the International Association of Hydrological Sciences 368 (May 6, 2015): 180–85. http://dx.doi.org/10.5194/piahs-368-180-2015.

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Abstract. The Yalong River is the third largest base of the 13 hydropower bases in China. Long-time series of river discharge records are essential for the design of hydropower stations and water resource management. The existing monitoring network is scarce and cannot provide sufficient hydrological information for the basin. Rainfall–runoff models are popular tools for extending hydrological data in both space and time. In this paper, the feasibility of applying a conceptual rainfall–runoff model, HYdrological MODel (HYMOD), to the upper Yalong River basin was evaluated. The generalized likelihood uncertainty estimation (GLUE) was employed for model calibration and uncertainty analysis. The results show that simulated discharge matches the observations satisfactorily, indicating the hydrological model performs well and the application of HYMOD to estimate long time-series of river discharge in the study area is feasible.
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Pathiraja, Sahani, Daniela Anghileri, Paolo Burlando, Ashish Sharma, Lucy Marshall, and Hamid Moradkhani. "Time-varying parameter models for catchments with land use change: the importance of model structure." Hydrology and Earth System Sciences 22, no. 5 (May 16, 2018): 2903–19. http://dx.doi.org/10.5194/hess-22-2903-2018.

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Abstract. Rapid population and economic growth in Southeast Asia has been accompanied by extensive land use change with consequent impacts on catchment hydrology. Modeling methodologies capable of handling changing land use conditions are therefore becoming ever more important and are receiving increasing attention from hydrologists. A recently developed data-assimilation-based framework that allows model parameters to vary through time in response to signals of change in observations is considered for a medium-sized catchment (2880 km2) in northern Vietnam experiencing substantial but gradual land cover change. We investigate the efficacy of the method as well as the importance of the chosen model structure in ensuring the success of a time-varying parameter method. The method was used with two lumped daily conceptual models (HBV and HyMOD) that gave good-quality streamflow predictions during pre-change conditions. Although both time-varying parameter models gave improved streamflow predictions under changed conditions compared to the time-invariant parameter model, persistent biases for low flows were apparent in the HyMOD case. It was found that HyMOD was not suited to representing the modified baseflow conditions, resulting in extreme and unrealistic time-varying parameter estimates. This work shows that the chosen model can be critical for ensuring the time-varying parameter framework successfully models streamflow under changing land cover conditions. It can also be used to determine whether land cover changes (and not just meteorological factors) contribute to the observed hydrologic changes in retrospective studies where the lack of a paired control catchment precludes such an assessment.
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Markou, George, Christos Mourlas, and Manolis Papadrakakis. "Computationally Efficient and Robust Nonlinear 3D Cyclic Modeling of RC Structures Through a Hybrid Finite Element Model (HYMOD)." International Journal of Computational Methods 16, no. 01 (November 21, 2018): 1850125. http://dx.doi.org/10.1142/s0219876218501256.

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A computationally efficient and robust simulation method is presented in this work, for the cyclic modeling of reinforced concrete (RC) structures. The proposed hybrid modeling (HYMOD) approach alleviates numerical limitations regarding the excessive computational cost during the cyclic analysis and provides a tool for the detailed simulation of the 3D cyclic nonlinear behavior of full-scale RC structures. The simplified HYMOD approach is integrated in this work with a computationally efficient cyclic concrete material model so as to investigate its numerical performance under extreme cyclic loading conditions. The proposed approach adopts a hybrid modeling concept that combines hexahedral and beam-column finite elements (FEs), in which the coupling between them is achieved through the implementation of kinematic constraints. A parametric investigation is performed through the use of the Del Toro Rivera frame joint and two RC frames with a shear wall. The proposed modeling method managed to decrease the computational cost in all numerical tests performed in this work, while it induced additional numerical stability during the cyclic analysis, in which the required number of internal iterations per displacement increment was found to be always smaller compared with the unreduced (hexahedral) model. The HYMOD provides for the first time with the required 3D detailed FE solution tools in order to simulate the nonlinear cyclic response of full-scale RC structures without hindering the numerical accuracy of the derived model nor the need of developing computationally expensive models that practically cannot be solved through the use of standard computer systems.
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Markou, George, and Manolis Papadrakakis. "A simplified and efficient hybrid finite element model (HYMOD) for non-linear 3D simulation of RC structures." Engineering Computations 32, no. 5 (July 6, 2015): 1477–524. http://dx.doi.org/10.1108/ec-11-2013-0269.

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Purpose – The purpose of this paper is to present a simplified hybrid modeling (HYMOD) approach which overcomes limitations regarding computational cost and permits the simulation and prediction of the nonlinear inelastic behavior of full-scale RC structures. Design/methodology/approach – The proposed HYMOD formulation was integrated in a research software ReConAn FEA and was numerically studied through the use of different numerical implementations. Then the method was used to model a full-scale two-storey RC building, in an attempt to demonstrate its numerical robustness and efficiency. Findings – The numerical results performed demonstrate the advantages of the proposed hybrid numerical simulation for the prediction of the nonlinear ultimate limit state response of RC structures. Originality/value – A new numerical modeling method based on finite element method is proposed for simulating accurately and with computational efficiency, the mechanical behavior of RC structures. Currently 3D detailed methods are used to model single structural members or small parts of RC structures. The proposed method overcomes the above constraints.
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Yin, Zhaokai, Weihong Liao, Xiaohui Lei, Hao Wang, and Ruojia Wang. "Comparing the Hydrological Responses of Conceptual and Process-Based Models with Varying Rain Gauge Density and Distribution." Sustainability 10, no. 9 (September 7, 2018): 3209. http://dx.doi.org/10.3390/su10093209.

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Precipitation provides the most crucial input for hydrological modeling. However, rain gauge networks, the most common precipitation measurement mechanisms, are sometimes sparse and inadequately distributed in practice, resulting in an imperfect representation of rainfall spatial variability. The objective of this study is to analyze the sensitivity of different model structures to the different density and distribution of rain gauges and evaluate their reliability and robustness. Based on a rain gauge network of 20 gauges in the Jinjiang River Basin, south-eastern China, this study compared the performance of two conceptual models (the hydrologic model (HYMOD) and Xinanjiang) and one process-based distributed model (the water and energy transfer between soil, plants and atmosphere model (WetSpa)) with different rain gauge distributions. The results show that the average accuracy for the three models is generally stable as the number of rain gauges decreases but is sensitive to changes in the network distribution. HYMOD has the highest calibration uncertainty, followed by Xinanjiang and WetSpa. Differing model responses are consistent with changes in network distribution, while calibration uncertainties are more related to model structures.
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Kim, Kue Bum, and Dawei Han. "Exploration of sub-annual calibration schemes of hydrological models." Hydrology Research 48, no. 4 (August 30, 2016): 1014–31. http://dx.doi.org/10.2166/nh.2016.296.

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This study compared hydrological model performances under different sub-annual calibration schemes using two conceptual models, IHACRES and HYMOD. In several publications regarding sub-annual calibration, the authors showed that such an approach generally performed better than the conventional whole period method. Hence, there are advantages in dividing the data into sub-annual periods for calibration. However, little attention has been paid to the issue of how to calibrate the non-continuous sub-annual period. Unlike the conventional calibration which assumes time-invariant parameters for the calibration period, the model parameters vary in sub-annual calibration. We have explored two sub-annual calibration schemes, serial calibration scheme (SCS) and parallel calibration scheme (PCS). We assume that the relationships between the rainfall and runoff could be different for each sub-annual period and consider intra-annual variations of the system. The models are then evaluated for a different validation period to avoid over-fitting and the optimal sub-annual calibration period is explored. Overall, we have found that PCS performed slightly better than SCS and the optimal calibration periods are seasonal and bimonthly for IHACRES and biannual for HYMOD. Since there are pros and cons in both SCS and PCS, we recommend choosing the method depending on the purpose of the model usage.
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Zhang, Shiyan, and Khalid Al-Asadi. "Evaluating the Effect of Numerical Schemes on Hydrological Simulations: HYMOD as A Case Study." Water 11, no. 2 (February 14, 2019): 329. http://dx.doi.org/10.3390/w11020329.

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The importance of numerical schemes in hydrological models has been increasingly recognized in the hydrological community. However, the relationship between model performance and the properties of numerical schemes remains unclear. In this study, we employed two types of numerical schemes (i.e., explicit Runge-Kutta schemes with different orders of accuracy and partially implicit Euler schemes with different implicit factors) in the hydrological model (HYMOD) to simulate the flow hydrograph of the Leaf River basin from 1948 to 1988. Results computed by different numerical schemes were compared and the relationships between model performance and two scheme properties (i.e., the order of accuracy and the implicit factor) were discussed. Results showed that the more explicit schemes generally lead to the overestimation of flow hydrographs, whereas the more implicit schemes lead to underestimation. In addition, the numerical error tended to decrease with increasing orders of accuracy. As a result, the optimal parameter sets found by low-order schemes significantly deviated from those found by the analytical solution. The findings of this study can provide useful implications for designing suitable numerical schemes for hydrological models.
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Gharari, S., M. Hrachowitz, F. Fenicia, and H. H. G. Savenije. "An approach to identify time consistent model parameters: sub-period calibration." Hydrology and Earth System Sciences 17, no. 1 (January 17, 2013): 149–61. http://dx.doi.org/10.5194/hess-17-149-2013.

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Abstract. Conceptual hydrological models rely on calibration for the identification of their parameters. As these models are typically designed to reflect real catchment processes, a key objective of an appropriate calibration strategy is the determination of parameter sets that reflect a "realistic" model behavior. Previous studies have shown that parameter estimates for different calibration periods can be significantly different. This questions model transposability in time, which is one of the key conditions for the set-up of a "realistic" model. This paper presents a new approach that selects parameter sets that provide a consistent model performance in time. The approach consists of testing model performance in different periods, and selecting parameter sets that are as close as possible to the optimum of each individual sub-period. While aiding model calibration, the approach is also useful as a diagnostic tool, illustrating tradeoffs in the identification of time-consistent parameter sets. The approach is applied to a case study in Luxembourg using the HyMod hydrological model as an example.
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Gharari, S., M. Hrachowitz, F. Fenicia, and H. H. G. Savenije. "Moving beyond traditional model calibration or how to better identify realistic model parameters: sub-period calibration." Hydrology and Earth System Sciences Discussions 9, no. 2 (February 13, 2012): 1885–918. http://dx.doi.org/10.5194/hessd-9-1885-2012.

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Abstract. Conceptual hydrological models often rely on calibration for the identification of their parameters. As these models are typically designed to reflect real catchment processes, a key objective of an appropriate calibration strategy is the determination of parameter sets that reflect a "realistic" model behavior. Previous studies have shown that parameter estimates for different calibration periods can be significantly different. This questions model transposability in time, which is one of the key conditions for the set-up of a "realistic" model. This paper presents a new approach that selects parameter sets that provide a consistent model performance in time. The approach consists of confronting model performance in different periods, and selecting parameter sets that are as close as possible to the optimum of each individual sub-period. While aiding model calibration, the approach is also useful as a diagnostic tool, illustrating tradeoffs in the identification of time consistent parameter sets. The approach is demonstrated in a case study where we illustrate the multi-objective calibration of the HyMod hydrological model to a Luxembourgish catchment.
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Dissertations / Theses on the topic "HyMOD"

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Fanigliulo, Claudio. "Valutazione su base stocastica dell'area contribuente al deflusso fluviale." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15097/.

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Il bilancio idrologico sul bacino idrografico talvolta non si chiude in pareggio; questo è dovuto alla presenza di incertezze nei dati o nella modellazione dei processi. Una delle possibili cause può essere individuata nell'area contribuente del bacino idrografico la quale viene determinata su base strettamente topografica tramite l'identificazione delle linee di spartiacque. Però, la sua definizione potrebbe non essere corretta in quanto l'area contribuente risulta influenzata anche dalla presenza di spartiacque sotterranei i quali potrebbero non essere rilevati. Tale problematica è stata affrontata considerando un numero rilevante di bacini idrografici distribuiti sia sul territorio nazionale che europeo. La base dati a disposizione è costituita da serie temporali di precipitazione, evapotraspirazione e portata rilevate alle diverse stazioni di chiusura. Il modello idrologico utilizzato è un modello afflussi-deflussi, concentrato di tipo concettuale, a cinque parametri, denominato HyMOD. La struttura di tale modello è stata modificata andando a considerare l'area contribuente come una variabile casuale, rendendo così il modello a sei parametri. Si è proceduto alla calibrazione del modello attraverso tre diversi algoritmi di ottimizzazione andando a confrontare il valore dell'area contribuente, stimata dal modello, con l'area reale di partenza. Nel primo capitolo vengono illustrati i concetti fondamentali dell'idrologia e del ciclo idrologico, della modellistica idrologica e della calibrazione dei modelli idrologici. Nel secondo capitolo viene presentato il modello afflussi-deflussi utilizzato e la sua relativa modifica. Inoltre, viene descritta la calibrazione del modello e i diversi algoritmi utilizzati. Nel terzo capitolo vengono presentati i bacini idrografici considerati, le loro caratteristiche e i dati a disposizione. Nel quarto capitolo si analizza il lavoro svolto presentando e discutendo i risultati ottenuti.
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Stumpo, Francesca. "Indagine numerico-sperimentale finalizzata alla caratterizzazione del bacino imbrifero sotterraneo del Lago di Monate (VA)." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019.

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Lo scopo del seguente lavoro di Tesi è quello di approfondire il tema del bilancio idrologico del bacino del Lago di Monate servendosi di modellazioni idrologiche che tengano conto della variabilità dell’estensione del bacino imbrifero sotterraneo del lago. Nella fase introduttiva dell’elaborato vengono riportate la descrizione dell’area di studio e del bacino idrologico del lago, le attività di monitoraggio in corso e il modello idrologico utilizzato per l’analisi. Sono stati introdotti quattro schemi concettuali di applicazione del modello idrologico, tramite l’implementazione del programma di calcolo R: il primo è identificato dal classico modello di trasformazione afflussi-deflussi HyMOD che prevede l’utilizzo di 5 parametri; il secondo e terzo schema concettuale impongo la variabilità dell’area del bacino sotterraneo strettamente correlata all’andamento delle precipitazioni, imponendo un incremento o riduzione dell’area rispettivamente all’aumentare o al diminuire delle precipitazioni; infine nel quarto schema l’area del bacino sotterraneo è stimata dal modello HyMOD come sesto parametro. Ognuno dei precedenti schemi è stato valutato secondo diverse strategie di calibrazione, dalle quali è stato possibile ottenere i set di parametri con i quali eseguire le simulazioni del modello. Analizzando i risultati si nota come tutti i modelli proposti restituiscano performance molto elevate negli anni caratterizzati da elevata umidità, mentre evidenziano un calo di prestazioni negli anni “anomali” contraddistinti da un comportamento siccitoso. Si deduce dunque che, al netto di altri possibili dati inaffidabili, il modello presenta diversi limiti che saranno oggetto di analisi future.
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Leuci, Riccardo Sergio. "Modellazione numerica semi-distribuita del comportamento idrologico del Lago di Monate (VA)." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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Il Lago di Monate è una risorsa ambientale di inestimabile valore. La comprensione del comportamento idrologico del bacino del Lago è di fondamentale importanza per garantirne un’adeguata tutela. La modellazione idrologica numerico-matematica, sviluppata in questo elaborato, si fonda su un’attenta gestione ed elaborazione dei dati meteorologici disponibili. Il bilancio idrologico, condotto tramite modello afflussi-deflussi HyMOD opportunamente modificato, fa riferimento ai dati relativi ai primi tre anni di monitoraggio idrologico e ambientale a cui è soggetto il bacino stesso (2014-16). Dopo aver calibrato e validato il modello, tramite differenti simulazioni del livello idrico del Lago a scala temporale giornaliera, vengono indagate le prestazioni del modello stesso e l’attendibilità dei dati di monitoraggio. Attraverso procedure analoghe è stata condotta anche un’analisi idrologica del bacino imbrifero che alimenta il laghetto della vicina Cava Faraona, per meglio comprendere se l’attività di coltivazione dei calcari nummulitici in corso presso la cava possa alterare il bilancio idrologico del Lago di Monate. Infine, il presente elaborato indaga il processo di scioglimento nivale: l’analisi, condotta tramite il Degree-Day Method e validata tramite immagini satellitari di copertura nevosa, ha messo in risalto che per descrivere accuratamente il processo per bacini di laghi prealpini potrebbero essere necessari modelli più articolati, che possano rappresentare con maggior dettaglio le caratteristiche meteoclimatiche salienti della zona di interesse.
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Masci, Sara. "Torrente Samoggia: impatto della numerosità di dati idrometrici sulla calibrazione dei modelli idrologici." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.

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L'obiettivo della Tesi è l'analisi idrologica del bacino del Samoggia chiuso a Calcara, su un periodo di osservazione compreso tra il 2010 e il 2016, per valutare l'impatto della numerosità dei dati idrometrici disponibili sulle calibrazioni di due modelli idrologici: un modello estremamente semplice, il Bucket Model, costituito da soli due parametri (k e S), e uno più complesso, HyMOD, costituito da un numero maggiore di parametri. La fase iniziale riguarda il reperimento e la ricostruzione dei dati di input dei modelli (precipitazione, evapotraspirazione potenziale e portate a scala di bacino, sia a passo orario che a passo giornaliero), sfruttando l'applicazione Dext3r fornita dall'ARPAe. La fase centrale riguarda la calibrazione dei modelli, valutando l'indice di prestazione NSE su quattro periodi diversi (2011, 2011-12, 2011-13 e 2011-14), e la validazione sul solo biennio 2015-2016. Le calibrazioni sono state effettuate utilizzando, per il Bucket Model, il metodo del gradiente (funzione "optim" in ambiente di lavoro R), mentre per il modello HyMOD, l'algoritmo genetico combinato con il metodo del gradiente (funzione "GA" combinata con "optim"). La fase finale riguarda la presentazione e la discussione dei risultati ottenuti.
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Books on the topic "HyMOD"

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Durnbaugh, Hedwig T. The German hymody of the Brethren, 1720-1903. Philadelphia: Brethren Encyclopedia, 1986.

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1939-, Ebenezer Lyn, ed. Troseddau hynod: 50 o lofruddiaethau a marwolaethau amheus yng Nghymru. Llanrwst: Gwasg Carreg Gwalch, 2003.

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1939-, Ebenezer Lyn, ed. Troseddau hynod 2: 50 o lofruddiaethau a marwolaethau amheus yng Nghymru. Llanrwst: Gwasg Carreg Gwalch, 2004.

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A, Leake S., and Geological Survey (U.S.), eds. Documentation for HYDMOD: A program for extracting and processing time-series data from the U.S. Geological Survey's modular three-dimensional finite-difference ground-water flow model. Sacramento, Calif: U.S. Dept. of the Interior, U.S. Geological Survey, 1999.

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Book chapters on the topic "HyMOD"

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Parrott, Christopher, Tony J. Dodd, and Roderich Groß. "HyMod: A 3-DOF Hybrid Mobile and Self-Reconfigurable Modular Robot and its Extensions." In Distributed Autonomous Robotic Systems, 401–14. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73008-0_28.

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CHOWDHARY, HEMANT, MARC VAN DIJK, and HENK OGINK. "IMPLEMENTATION OF HYDROLOGICAL DATA PROCESSING SYSTEM HYMOS IN INDIA." In Hydroinformatics, 629–36. WORLD SCIENTIFIC, 2004. http://dx.doi.org/10.1142/9789812702838_0077.

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Shende, Ashay, and Mahendra Umare. "1 Analysis of rainfall and runoff of a catchment area using HYMOS." In Water Resource Technology, 1–8. De Gruyter, 2021. http://dx.doi.org/10.1515/9783110721355-001.

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Conference papers on the topic "HyMOD"

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Alvarez, Semaria Ruiz, Jairo Espinosa Oviedo, and Andres Acosta Gil. "Hymod: A Software For Hybrid Microgrid Optimal Design." In 2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE). IEEE, 2018. http://dx.doi.org/10.1109/iceee.2018.8533914.

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Gravett, Dewald Z., Christos Mourlas, George Markou, and Manolis Papadrakakis. "NUMERICAL PERFORMANCE OF A NEW ALGORITHM FOR PERFORMING MODAL ANALYSIS OF FULL-SCALE REINFORCED CONCRETE STRUCTURES THAT ARE DISCRETIZED WITH THE HYMOD APPROACH." In 7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering Methods in Structural Dynamics and Earthquake Engineering. Athens: Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece, 2019. http://dx.doi.org/10.7712/120119.7205.19548.

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Whitbeck, John, and Vania Conan. "HYMAD: Hybrid DTN-MANET routing for dense and highly dynamic wireless networks." In 2009 IEEE International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WowMoM). IEEE, 2009. http://dx.doi.org/10.1109/wowmom.2009.5282448.

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Reports on the topic "HyMOD"

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Carder, Kendall L., and Phillip N. Reinersman. Optical Variability and Bottom Classification in Turbid Waters: HyMOM Predictions of the Light Field in Ports and Beneath Ship Hulls. Fort Belvoir, VA: Defense Technical Information Center, September 2006. http://dx.doi.org/10.21236/ada612265.

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