Academic literature on the topic '3D Depth Model'

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Journal articles on the topic "3D Depth Model"

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Mukhtar, N. F., S. Azri, U. Ujang, M. G. Cuétara, G. M. Retortillo, and S. Mohd Salleh. "3D MODEL FOR INDOOR SPACES USING DEPTH SENSOR." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W16 (October 1, 2019): 471–79. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w16-471-2019.

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Abstract. In recent years, 3D model for indoor spaces have become highly demanded in the development of technology. Many approaches to 3D visualisation and modelling especially for indoor environment was developed such as laser scanner, photogrammetry, computer vision, image and many more. However, most of the technique relies on the experience of the operator to get the best result. Besides that, the equipment is quite expensive and time-consuming in terms of processing. This paper focuses on the data acquisition and visualisation of a 3D model for an indoor space by using a depth sensor. In
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Lü, Qingtian, Guang Qi, and Jiayong Yan. "3D geologic model of Shizishan ore field constrained by gravity and magnetic interactive modeling: A case history." GEOPHYSICS 78, no. 1 (2013): B25—B35. http://dx.doi.org/10.1190/geo2012-0126.1.

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We performed a study on using an integrated geologic model in mineral exploration at depth. Shizishan ore field, in the western part of the Tongling ore district, Anhui Province in China, is well known for its polymetallic deposits and recent deep discovery of Dongguashan deposit at around 1000-m depth. Understanding the 3D structure and delineating the locations and variations of the intrusions and ore-controlling strata in the study area are essential for selecting deep mineral targets. A pilot 3D geologic model, covering an area of 11 × 16 km and extends to a depth of 3 km, has been constru
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Liu, Yong Guang, Ming Quan Zhou, and Ya Chun Fan. "Using Depth Image in 3D Model Retrieval System." Advanced Materials Research 268-270 (July 2011): 981–87. http://dx.doi.org/10.4028/www.scientific.net/amr.268-270.981.

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For content-based 3D model retrieval, an improved depth image-based feature extraction algorithm is proposed. First, a 3-D model is preprocessed. Secondly, six depth images are generated in three principal directions in the normalized coordinate system. Thirdly, the eigenvectors of 3D model are obtained through 2D Fourier Transform of the depth images. Finally a new method is used for low-frequency sampling. Experiments show that the approach performed quite well despite its apparently simple approach. In our large 3D database, our approach is well for variant resolution models and holds satis
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Zhang, Huang, and Zhao. "A New Model of RGB-D Camera Calibration Based On 3D Control Field." Sensors 19, no. 23 (2019): 5082. http://dx.doi.org/10.3390/s19235082.

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With extensive application of RGB-D cameras in robotics, computer vision, and many other fields, accurate calibration becomes more and more critical to the sensors. However, most existing models for calibrating depth and the relative pose between a depth camera and an RGB camera are not universally applicable to many different kinds of RGB-D cameras. In this paper, by using the collinear equation and space resection of photogrammetry, we present a new model to correct the depth and calibrate the relative pose between depth and RGB cameras based on a 3D control field. We establish a rigorous re
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Kwon, Ki Hoon, Munkh-Uchral Erdenebat, Nam Kim, et al. "High-Quality 3D Visualization System for Light-Field Microscopy with Fine-Scale Shape Measurement through Accurate 3D Surface Data." Sensors 23, no. 4 (2023): 2173. http://dx.doi.org/10.3390/s23042173.

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We propose a light-field microscopy display system that provides improved image quality and realistic three-dimensional (3D) measurement information. Our approach acquires both high-resolution two-dimensional (2D) and light-field images of the specimen sequentially. We put forward a matting Laplacian-based depth estimation algorithm to obtain nearly realistic 3D surface data, allowing the calculation of depth data, which is relatively close to the actual surface, and measurement information from the light-field images of specimens. High-reliability area data of the focus measure map and spatia
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Zhang, Fan, Junli Zhao, Liang Wang, and Fuqing Duan. "3D Face Model Super-Resolution Based on Radial Curve Estimation." Applied Sciences 10, no. 3 (2020): 1047. http://dx.doi.org/10.3390/app10031047.

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Consumer depth cameras bring about cheap and fast acquisition of 3D models. However, the precision and resolution of these consumer depth cameras cannot satisfy the requirements of some 3D face applications. In this paper, we present a super-resolution method for reconstructing a high resolution 3D face model from a low resolution 3D face model acquired from a consumer depth camera. We used a group of radial curves to represent a 3D face. For a given low resolution 3D face model, we first extracted radial curves on it, and then estimated their corresponding high resolution ones by radial curve
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Sintunata, Vicky, and Terumasa Aoki. "Color Segmentation Based Depth Adjustment for 3D Model Reconstruction from a Single Input Image." International Journal of Computer Theory and Engineering 8, no. 2 (2016): 171–76. http://dx.doi.org/10.7763/ijcte.2016.v8.1039.

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Hollands, J. G., Heather A. Parker, and Andrew Morton. "Judgments of 3D Bars in Depth." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 46, no. 17 (2002): 1565–69. http://dx.doi.org/10.1177/154193120204601708.

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Twenty participants judged the relative size of two bars portrayed at different locations in a 3D bar graph. Bars were co-located, placed side by side (near adjacent), or the small bar occluded the large (near or far occluded). Error was greater for the far occluded condition and there was greater variability in bias scores. To account for observed error, we proposed a model that distinguishes between cyclical bias commonly observed in proportion judgments and bias resulting from improper size-distance scaling. The model was fit to data, and the results indicated that the absolute value of siz
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Magistrale, Harold, Keith McLaughlin, and Steven Day. "A geology-based 3D velocity model of the Los Angeles basin sediments." Bulletin of the Seismological Society of America 86, no. 4 (1996): 1161–66. http://dx.doi.org/10.1785/bssa0860041161.

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Abstract Seismic hazard studies of the Los Angeles basin area require a realistic seismic-velocity model. We use geologic information about depth to crystalline basement, depths to sedimentary horizons, uplift of sediments, and surface geology in a velocity-depth-age function to construct a three-dimensional velocity model. In earthquake location tests, the model predicts travel times satisfactorily, and in earthquake ground-motion simulations, the model correctly determines the timing and amplitude of late-arriving waves.
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Wu, Di, Xudong Zhang, Jun Zhang, Zhiguo Fan, and Rui Sun. "Light field depth estimation guided by 3D occlusion model." Journal of Image and Graphics 26, no. 4 (2021): 924–38. http://dx.doi.org/10.11834/jig.200131.

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Dissertations / Theses on the topic "3D Depth Model"

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Sexton, Paul. "3D velocity-depth model building using surface seismic and well data." Thesis, Durham University, 1998. http://etheses.dur.ac.uk/4824/.

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The objective of this work was to develop techniques that could be used to rapidly build a three-dimensional velocity-depth model of the subsurface, using the widest possible variety of data available from conventional seismic processing and allowing for moderate structural complexity. The result is a fully implemented inversion methodology that has been applied successfully to a large number of diverse case studies. A model-based inversion technique is presented and shown to be significantly more accurate than the analytical methods of velocity determination that dominate industrial practice.
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DAL, CIN MICHELA. "3D velocity depth model in the Gulf of Trieste by means of tomographic analysis from multichannel seismic reflection data." Doctoral thesis, Università degli Studi di Trieste, 2018. http://hdl.handle.net/11368/2922569.

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The Gulf of Trieste (GT) is a shallow epicontinental basin that is part of the northern Adriatic Sea (Central Mediterranean). It is settled at the proximal southern edge of an active plate boundary, where the convergence between the Adriatic block and the Eurasian plate gave rise to two Meso-Cenozoic Alpine-Himalayan orogens: the Dinarides (NW-SE trending) and the Eastern Alps (E-W oriented). The Gulf of Trieste is the foredeep of the northern External Dinarides and the eastern Alps. Its evolution started from a Mesozoic rifting that generated NE-SW normal faults allowing the aggradation of th
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BIAGIOLI, ELISA. "Depth-averaged and 3D Finite Volume numerical models for viscous fluids, with application to the simulation of lava flows." Doctoral thesis, Università degli studi di Genova, 2021. http://hdl.handle.net/11567/1057651.

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This Ph.D. project was initially born from the motivation to contribute to the depth-averaged and 3D modeling of lava flows. Still, we can frame the work done in a broader and more generalist vision. We developed two models that may be used for generic viscous fluids, and we applied efficient numerical schemes for both cases, as explained in the following. The new solvers simulate free-surface viscous fluids whose temperature changes are due to radiative, convective, and conductive heat exchanges. A temperature-dependent viscoplastic model is used for the final application to lava flows. Bo
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Buat, Benjamin. "Caméra active 3D par Depth from Defocus pour l'inspection de surface : algorithmie, modèle de performance et réalisation expérimentale." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG058.

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Cette thèse traite de la conception d'une caméra 3D capable de produire la carte de profondeur complète d'une scène dans le cadre de l'inspection de surface. Ce domaine d'application implique généralement des objets peu texturés et un cahier des charges stricte concernant la compacité du système d'inspection et la précision requise. Dans cette thèse, nous proposons d'utiliser une caméra associée à un projecteur permettant d'ajouter une texture artificielle à la scène. L'extraction de 3D repose sur le principe de « Depth-From-Defocus » (DFD) qui consiste à estimer la profondeur en exploitant le
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Sankoh, Hiroshi. "Object Extraction for Virtual-viewpoint Video Synthesis." 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/200465.

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Hua, Xiaoben, and Yuxia Yang. "A Fusion Model For Enhancement of Range Images." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2203.

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In this thesis, we would like to present a new way to enhance the “depth map” image which is called as the fusion of depth images. The goal of our thesis is to try to enhance the “depth images” through a fusion of different classification methods. For that, we will use three similar but different methodologies, the Graph-Cut, Super-Pixel and Principal Component Analysis algorithms to solve the enhancement and output of our result. After that, we will compare the effect of the enhancement of our result with the original depth images. This result indicates the effectiveness of our methodology.<b
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Diskin, Yakov. "Dense 3D Point Cloud Representation of a Scene Using Uncalibrated Monocular Vision." University of Dayton / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1366386933.

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Stålberg, Martin. "Reconstruction of trees from 3D point clouds." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-316833.

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The geometrical structure of a tree can consist of thousands, even millions, of branches, twigs and leaves in complex arrangements. The structure contains a lot of useful information and can be used for example to assess a tree's health or calculate parameters such as total wood volume or branch size distribution. Because of the complexity, capturing the structure of an entire tree used to be nearly impossible, but the increased availability and quality of particularly digital cameras and Light Detection and Ranging (LIDAR) instruments is making it increasingly possible. A set of digital image
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Grankvist, Ola. "Recognition and Registration of 3D Models in Depth Sensor Data." Thesis, Linköpings universitet, Datorseende, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-131452.

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Object Recognition is the art of localizing predefined objects in image sensor data. In this thesis a depth sensor was used which has the benefit that the 3D pose of the object can be estimated. This has applications in e.g. automatic manufacturing, where a robot picks up parts or tools with a robot arm. This master thesis presents an implementation and an evaluation of a system for object recognition of 3D models in depth sensor data. The system uses several depth images rendered from a 3D model and describes their characteristics using so-called feature descriptors. These are then matched wi
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Semmens, Stephen Bradley. "An Engineering Geological Investigation of the Seismic Subsoil Classes in the Central Wellington Commercial Area." Thesis, University of Canterbury. Geological Sciences, 2010. http://hdl.handle.net/10092/4287.

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The city of Wellington has a high population concentration and lies within a geologically active landscape at the southern end of the North Island, New Zealand. Wellington has a high seismic risk due to its close proximity to several major fault systems, with the active Wellington Fault located in the north-western central city. Varying soil depth and properties in combination with the close proximity of active faults mean that in a large earthquake rupture event, ground shaking amplification is expected to occur in Thorndon, Te Aro and around the waterfront. This thesis focuses on the area b
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Book chapters on the topic "3D Depth Model"

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Lin, Jun-Yang, May-Fang She, Ming-Han Tsai, I.-Chen Lin, Yo-Chung Lau, and Hsu-Hang Liu. "3D Articulated Model Retrieval Using Depth Image Input." In Communications in Computer and Information Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26756-8_2.

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Golyanik, Vladislav. "Coherent Depth Fields with High Dimensional Space Model." In Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds. Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-30567-3_6.

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Li, Chunhua, Ping An, Liquan Shen, Kai Li, and Jian Ma. "A Modified Just Noticeable Depth Difference Model for 3D Displays." In Communications in Computer and Information Science. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4211-9_7.

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Sanfeliu, A., M. Añaños, and M. J. Dunjó. "Integrating Driving Model and Depth for Identification of Partially Occluded 3D Models." In Multisensor Fusion for Computer Vision. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-662-02957-2_12.

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Mao, Z., and A. J. Naftel. "3D Image Analysis of Facial Shape Changes Using Depth from Stereo." In Noblesse Workshop on Non-Linear Model Based Image Analysis. Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1597-7_44.

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Park, Jiyoung, Hye-Jin Park, and Myoung-Hee Kim. "Stereoscopic 3D Model Viewer with Improved Depth Perception for Battlefield Visualization." In Advanced Methods, Techniques, and Applications in Modeling and Simulation. Springer Japan, 2012. http://dx.doi.org/10.1007/978-4-431-54216-2_41.

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Singer, David, Dorian Rohner, and Dominik Henrich. "Robot-Based Creation of Complete 3D Workpiece Models." In Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2021. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-74032-0_24.

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AbstractA complete object database containing a model (representing geometric and texture information) of every possible workpiece is a common necessity e.g. for different object recognition or task planning approaches. The generation of these models is often a tedious process. In this paper we present a fully automated approach to tackle this problem by generating complete workpiece models using a robotic manipulator. A workpiece is recorded by a depth sensor from multiple views for one side, then turned, and captured from the other side. The resulting point clouds are merged into one complet
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Maki, Naoto, Shohei Nakamura, Shigeru Takano, and Yoshihiro Okada. "3D Model Generation of Cattle Using Multiple Depth-Maps for ICT Agriculture." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61566-0_72.

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Neklyudov, Dmitry, Kirill Gadylshin, and Maxim Protasov. "Parallel Implementation of Fast 3D Travel Time Tomography for Depth-Velocity Model Building in Seismic Exploration Problems." In Lecture Notes in Computer Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-22941-1_17.

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Caron, Guillaume, Mounya Belghiti, and Anthony Dessaux. "3D Model-Based Tracking of Puppet in Depth Images for the Dynamic Video-Mapping of Its Suit." In Optoelectronic Devices in Robotic Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09791-1_1.

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Conference papers on the topic "3D Depth Model"

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Schwarz, Richard. "Reconstruction of a 3D Model Using Monocular Depth Estimation Algorithm." In 2025 Cybernetics & Informatics (K&I). IEEE, 2025. https://doi.org/10.1109/ki64036.2025.10916466.

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Dam, Phuong Anh, Hoang Nhut Huynh, Tan Loc Huynh, et al. "3D Reconstruction of Veins Using NIR by Efficientnet Model." In JSAP-Optica Joint Symposia. Optica Publishing Group, 2024. https://doi.org/10.1364/jsapo.2024.17a_a31_1.

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The study proposed a method for visualizing veins using near-infrared (NIR) transillumination imaging and reconstructing 3D structures with an EfficientNet CNN mod-el and pixel-to-pixel technique. NIR imaging, despite being noninvasive, encounters issues with light scattering, resulting in blurry images with poor depth perception. The pro-posed method combines depth estimation and scatter deblurring to improve the clarity and accuracy of 3D reconstructions, specifically targeting veins on the back of the hand.
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Dorosti, Sarshar, and Xiaosong Yang. "ImmersiveDepth: A Hybrid Approach for Monocular Depth Estimation from 360 Images Using Tangent Projection and Multi-Model Integration." In 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). IEEE, 2025. https://doi.org/10.1109/vrw66409.2025.00342.

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F. Jones, I. "Iterative 3D Depth Model Building via One-Pass 3D Depth Migration." In EAEG/SEG Summer Workshop - Construction of 3-D Macro Velocity-Depth Models. European Association of Geoscientists & Engineers, 1994. http://dx.doi.org/10.3997/2214-4609.201407571.

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Koren, Z., R. Strahilevitz, and D. Kosloff. "True Amplitude 3D Model Based Migration." In EAGE/SEG Workshop - Depth Imaging of Reservoir Attributes. European Association of Geoscientists & Engineers, 1998. http://dx.doi.org/10.3997/2214-4609.201406685.

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Kosloff, D., Z. Koren, U. Zakhem, R. Strahilevitz, and R. Weinshel. "3D Model Based Strategy for Subsurface Parameter Determination." In EAGE/SEG Workshop - Depth Imaging of Reservoir Attributes. European Association of Geoscientists & Engineers, 1998. http://dx.doi.org/10.3997/2214-4609.201406678.

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Probst, Thomas, Andrea Fossati, Mathieu Salzmann, and Luc Van Gool. "Efficient Model-Free Anthropometry from Depth Data." In 2017 International Conference on 3D Vision (3DV). IEEE, 2017. http://dx.doi.org/10.1109/3dv.2017.00062.

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W. Fagin, S., A. Litvin, and A. Brown. "3D Model-Based Time Gather Velocity Analysis." In EAEG/SEG Summer Workshop - Construction of 3-D Macro Velocity-Depth Models. European Association of Geoscientists & Engineers, 1994. http://dx.doi.org/10.3997/2214-4609.201407570.

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Etgen, J., and T. Kunz. "The 3D SEG Salt Model - Dreams and Reality." In EAEG/SEG Summer Workshop - Construction of 3-D Macro Velocity-Depth Models. European Association of Geoscientists & Engineers, 1994. http://dx.doi.org/10.3997/2214-4609.201407597.

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Cognot, R., P. Lavest, F. Bosquet, and J. L. Mallet. "Generating a 3D Velocity Model - the GOCAD Approach." In EAEG/SEG Summer Workshop - Construction of 3-D Macro Velocity-Depth Models. European Association of Geoscientists & Engineers, 1994. http://dx.doi.org/10.3997/2214-4609.201407586.

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Reports on the topic "3D Depth Model"

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Bédard, K., A. Marsh, M. Hillier, and Y. Music. 3D geological model of the Western Canadian Sedimentary Basin in Saskatchewan, Canada. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331747.

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The Western Canadian Sedimentary Basin (WCSB) covers a large part of southern Saskatchewan and hosts many resources such as critical mineral deposits (i.e. potash, helium and lithium) as well as oil and gas reservoirs and is also targeted for deep CO2 storage projects. There is also growing interest in the groundwater resources, the geothermal potential and hydrogen recovery potential. These applications require knowledge of the subsurface geology such as formation thickness and depth, relationships with adjacent formations or unconformities and ultimately, distribution of physical properties
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Chapman, Ray, Phu Luong, Sung-Chan Kim, and Earl Hayter. Development of three-dimensional wetting and drying algorithm for the Geophysical Scale Transport Multi-Block Hydrodynamic Sediment and Water Quality Transport Modeling System (GSMB). Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41085.

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The Environmental Laboratory (EL) and the Coastal and Hydraulics Laboratory (CHL) have jointly completed a number of large-scale hydrodynamic, sediment and water quality transport studies. EL and CHL have successfully executed these studies utilizing the Geophysical Scale Transport Modeling System (GSMB). The model framework of GSMB is composed of multiple process models as shown in Figure 1. Figure 1 shows that the United States Army Corps of Engineers (USACE) accepted wave, hydrodynamic, sediment and water quality transport models are directly and indirectly linked within the GSMB framework.
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Letcher, Theodore, Julie Parno, Zoe Courville, Lauren Farnsworth, and Jason Olivier. A generalized photon-tracking approach to simulate spectral snow albedo and transmittance using X-ray microtomography and geometric optics. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47122.

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A majority of snow radiative transfer models (RTMs) treat snow as a collection of idealized grains rather than an organized ice–air matrix. Here we present a generalized multi-layer photon-tracking RTM that simulates light reflectance and transmittance of snow based on X-ray micro- tomography images, treating snow as a coherent 3D structure rather than a collection of grains. The model uses a blended approach to expand ray-tracing techniques applied to sub-1 cm3 snow samples to snowpacks of arbitrary depths. While this framework has many potential applications, this study’s effort is focused o
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Arduino, Pedro, Long Chen, and Christopher McGann. Estimation of Shear Demands on Rock Socketed Drilled Shafts subjected to Lateral Loading. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2018. http://dx.doi.org/10.55461/nsos1322.

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This report presents results of an evaluation study on the applicability of current design procedures (based on p-y curves) to the analysis of large-diameter shafts socketed in rock, and the identification of enhanced moment transfer mechanisms not considered in current design methodologies. For this purpose simplified models, and possible three-dimensional (3D) finite-element method (FEM) models are studied to shed some light on the response of drilled shafts socketed in rock. A parametric study using p-y and considering a wide range of rock properties and rock-socket depths, different criter
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Shukla, Indu, Rajeev Agrawal, Kelly Ervin, and Jonathan Boone. AI on digital twin of facility captured by reality scans. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47850.

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The power of artificial intelligence (AI) coupled with optimization algorithms can be linked to data-rich digital twin models to perform predictive analysis to make better informed decisions about installation operations and quality of life for the warfighters. In the current research, we developed AI connected lifecycle building information models through the creation of a data informed smart digital twin of one of US Army Corps of Engineers (USACE) buildings as our test case. Digital twin (DT) technology involves creating a virtual representation of a physical entity. Digital twin is created
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Plourde, A. P., and J. F. Cassidy. Mapping tectonic stress at subduction zones with earthquake focal mechanisms: application to Cascadia, Japan, Nankai, Mexico, and northern Chile. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330943.

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Earthquake focal mechanisms have contributed substantially to our understanding of modern tectonic stress regimes, perhaps more than any other data source. Studies generally group focal mechanisms by epicentral location to examine variations in stress across a region. However, stress variations with depth have rarely been considered, either due to data limitations or because they were believed to be negligible. This study presents 3D grids of tectonic stress tensors using existing focal mechanism catalogs from several subduction zones, including Cascadia, Japan, Nankai, Mexico, and northern Ch
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de Caritat, Patrice, Brent McInnes, and Stephen Rowins. Towards a heavy mineral map of the Australian continent: a feasibility study. Geoscience Australia, 2020. http://dx.doi.org/10.11636/record.2020.031.

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Heavy minerals (HMs) are minerals with a specific gravity greater than 2.9 g/cm3. They are commonly highly resistant to physical and chemical weathering, and therefore persist in sediments as lasting indicators of the (former) presence of the rocks they formed in. The presence/absence of certain HMs, their associations with other HMs, their concentration levels, and the geochemical patterns they form in maps or 3D models can be indicative of geological processes that contributed to their formation. Furthermore trace element and isotopic analyses of HMs have been used to vector to mineralisatio
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DEVELOPMENT OF ANALYTICAL MODELS FOR PREDICTING THE FLEXURAL BEHAVIOUR OF ENGINEERED CEMENTITIOUS COMPOSITES – HIGH STRENGTH STEEL COMPOSITE BEAMS. The Hong Kong Institute of Steel Construction, 2023. http://dx.doi.org/10.18057/ijasc.2023.19.3.2.

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Abstract:
This paper presents the results of three-dimensional (3D) finite element (FE) and analytical models on the prediction of the flexural behaviour of composite beams comprising high strength steel (HSS) I-section and Engineered Cementitious Composite (ECC) slab. In the FE approach, 108 composite beam models which cover a wide range of key parameters including HSS grade, ECC compressive strength, HSS section depth, ECC slab thickness, ECC slab width were generated and analysed. The flexural strength of these composite beam models was subsequently employed to validate the accuracies of some commonl
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NUMERICAL STUDY ON SHEAR BEHAVIOUR OF ENHANCED C-CHANNELS IN STEEL-UHPC-STEEL SANDWICH STRUCTURES. The Hong Kong Institute of Steel Construction, 2021. http://dx.doi.org/10.18057/ijasc.2021.17.3.4.

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Abstract:
This paper firstly developed a three-dimensional (3D) finite element model (FEM) for enhanced C-channels (ECs) in steel-UHPC-steel sandwich structures (SUSSSs). The FEM was validated by 12 push-out tests on ECs with UHPC. With the validated FEM, this paper performed in-depth parametric studies on shear behaviours of ECs with ultra-high performance concrete (UHPC). These investigated parameters included bolt-hole gap (a), grade (M) and diameter (d) of bolt, core strength (fc), length of C-channel (Lc), and prestressing force ratio on bolt (ρ) in ECs. Under shear forces, the ECs in UHPC exhibite
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