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Computer Modelling in Disaster Prevention and Mitigation for Engineering Structures

Submission Deadline: 31 July 2021 (closed) View: 147

Guest Editors

Prof. Zheng-Zheng Wang, Dalian University of Technology, China
Dr. Danial Jahed Armaghani, University of Malaya, Malaysia
Dr. Chunshun Zhang, Monash University, Australia

Summary

Disaster prevention and mitigation for engineering structures is an important research field, which involves formation mechanisms, dynamic responses, collapse analyses, disaster prevention and mitigation strategies, etc. The research of natural disasters, which include the earthquake, landslide, falling rocks, and debris flow, can avoid catastrophic damage and reduce the vibration and noise of engineering structures, bringing more comfort and convenience to human life.

Computer modelling has been rapidly evolved over the past few decades to simulate actual geologic conditions and engineering circumstances. At present, considering the local geologic hazards related to the project decision and risk analysis, which include but not limited to the water inrush, rockburst, and frozen soil, the application of the most accurate modelling method has received significant attention from the researchers in disaster prevention and mitigation.

The main purpose of the proposed special issue is to explore and share the most recent progress and novel trends in computer modeling in disaster prevention and mitigation for engineering structures. Herein, original articles and review papers addressing innovative development in computer modelling are valuable scientific contributions. Moreover, research papers summarizing state of the art are also welcomed.

Keywords

Earthquake; Landslide; Falling Rocks; Debris Flow; Bridge Engineering; Tunnel Engineering; Geologic Hazard; Water Inrush; Rockburst; Frozen Soil

Published Papers

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Open Access

ARTICLE

Hysteresis of Dam Slope Safety Factor under Water Level Fluctuations Based on the LEM Coupled with FEM Method
Guodong Liu, Zhijun Zhou, Shiqiang Xu, Wenjing Mi
CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.2, pp. 351-375, 2022, DOI:10.32604/cmes.2022.020335
（This article belongs to the Special Issue: Computer Modelling in Disaster Prevention and Mitigation for Engineering Structures)
Abstract Water level variations have caused numerous dam slope collapse disasters around the world, illustrating the large influence of water level fluctuations on dam slopes. The required indoor tests were conducted and a numerical model of an actual earth-filled dam was constructed to investigate the influences of the water level fluctuation rate and the hysteresis of the soil–water characteristic curve (SWCC) on the stability of the upstream dam slope. The results revealed that the free surface in the dam body for the desorption SWCC during water level fluctuations was higher than that for the adsorption SWCC, More >

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ARTICLE

Reinforcement Effect Evaluation on Dynamic Characteristics of an Arch Bridge Based on Vehicle-Bridge Coupled Vibration Analysis
Yanbin Tan, Xingwen He, Lei Shi, Shi Zheng, Zhe Zhang, Xinshan Wang
CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.2, pp. 1041-1061, 2022, DOI:10.32604/cmes.2022.018543
（This article belongs to the Special Issue: Computer Modelling in Disaster Prevention and Mitigation for Engineering Structures)
Abstract To numerically evaluate the reinforcement effect on dynamic characteristics of a concrete-filled steel tube arch bridge with vibration problems, a 12-degree-of-freedom sprung-mass dynamic vehicle model and a 3D finite element bridge model were established. Then, the coupled equations of vehicle-bridge interaction were derived and a computer program was developed using the FORTRAN language. This program can accurately simulate vehicle-bridge coupled vibration considering the bumping effect and road surface irregularity during motion of the vehicle. The simulated results were compared with those of relevant literatures to verify the correctness of the self-developed program. Then, three reinforcement More >

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ARTICLE

A Fluid-Structure Interaction Simulation of Coal and Gas Outbursts Based on the Interaction between the Gas Pressure and Deformation of a Coal-Rock Mass
Lin Fang, Mengjun Wu, Bin Wu, Honglin Li, Chenhao He, Fan Sun
CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.3, pp. 1649-1668, 2022, DOI:10.32604/cmes.2022.018527
（This article belongs to the Special Issue: Computer Modelling in Disaster Prevention and Mitigation for Engineering Structures)
Abstract Based on the theories of the gas seepage in coal seams and the deformation of the coal-rock medium, the gas seepage field in coal-rock mass is coupled with the deformation field of the coal-rock mass to establish a fluid-structure interaction model for the interaction between coal gas and coal-rock masses. The outburst process in coal-rock masses under the joint action of gas pressure and crustal stress is simulated using the material point method. The simulation results show the changes in gas pressure, velocity distribution, maximum principal stress distribution, and damage distribution during the process of… More >

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ARTICLE

A Discrete Numerical Study of the Effect of the Thickness and the Porosity of the Sand Cushion on the Impact Response Due to the Rockfall
Song Yuan, Peng Zhao, Liangpu Li, Xibao Wang, Jun Liu, Bo Zhang
CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.3, pp. 1683-1698, 2022, DOI:10.32604/cmes.2022.018507
（This article belongs to the Special Issue: Computer Modelling in Disaster Prevention and Mitigation for Engineering Structures)
Abstract The prevention and the reduction of the rockfall are the common measures of the prevention and the reduction of disasters. When the rock-shed resists the impact of the rockfall, the force that acts on the structure consists of the cushion dead load and the impact-induced load, of which the dynamic process of the propagation of the impact-induced load is complex. Therefore, we conducted a numerical study to investigate the impact of the rockfall. Considering the highly discrete characteristic of the sand, we developed a numerical model on the basis of the discrete element method (DEM).… More >

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ARTICLE

Dynamic Performance of Straddle Monorail Curved Girder Bridge
Yan Zhou, Kai Zhang, Feng Miao, Pengfei Yang
CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.3, pp. 1669-1682, 2022, DOI:10.32604/cmes.2022.018101
（This article belongs to the Special Issue: Computer Modelling in Disaster Prevention and Mitigation for Engineering Structures)
Abstract In this work, a monorail vehicle-bridge coupling (VBC) model capable of accurately considering curve alignment and superelevation is established based on curvilinear moving coordinate system, to study the VBC vibration of straddle monorail curved girder bridge and the relevant factors influencing VBC. While taking Chongqing Jiao Xin line as an example, the VBC program is compiled using Fortran, where the reliability of algorithm and program is verified by the results of Chongqing monorail test. Moreover, the effects of curve radius, vehicle speed, and track irregularity on the corresponding vehicle and bridge vibrations are compared and… More >

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ARTICLE

Study of Temperature Field and Structure Optimization for Runways in Permafrost Regions
Xiaolan Liu, Yixiang Chen, Yan Zhou, Kai Zhang
CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.2, pp. 1093-1112, 2022, DOI:10.32604/cmes.2022.018072
（This article belongs to the Special Issue: Computer Modelling in Disaster Prevention and Mitigation for Engineering Structures)
Abstract Pavement construction in permafrost regions is complicated by the fact that the permafrost properties are influenced by the temperature and are extremely unstable. The numerical model for runway structures in permafrost regions is applied to analyze the time–space characteristics of the temperature field and the depth of the frozen layer. The influence of the installation layer is studied to enable structural optimization of the runway. Numerical results show that the temperature stabilization depth, low- and high-temperature interlayer response ranges, and maximum depth of the frozen layer are greater in runway engineering than in highway and… More >

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ARTICLE

Dynamic-Response Analysis of the Branch System of a Utility Tunnel Subjected to Near-Fault and Far-Field Ground Motions in Different Input Mechanisms
Yuhang Jin, Endong Guo, Houli Wu, peilei Yan
CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.1, pp. 167-186, 2022, DOI:10.32604/cmes.2022.018113
（This article belongs to the Special Issue: Computer Modelling in Disaster Prevention and Mitigation for Engineering Structures)
Abstract There are few studies on the dynamic-response mechanism of near-fault and far-field ground motions for large underground structures, especially for the branch joint of a utility tunnel (UT) and its internal pipeline. Based on the theory of a 3D viscous-spring artificial boundary, this paper deduced the equivalent nodal force when a P wave and an SV wave were vertically incident at the same time and transformed the ground motion into an equivalent nodal force using a self-developed MATLAB program, which was applied to an ABAQUS finite element model. Based on near-fault and far-field ground motions… More >

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ARTICLE

Hybridization of Differential Evolution and Adaptive-Network-Based Fuzzy Inference System in Estimation of Compression Coefficient of Plastic Clay Soil
Manh Duc Nguyen, Ha Nguyen Hai, Nadhir Al-Ansari, Mahdis Amiri, Hai-Bang Ly, Indra Prakash, Binh Thai Pham
CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.1, pp. 149-166, 2022, DOI:10.32604/cmes.2022.017355
（This article belongs to the Special Issue: Computer Modelling in Disaster Prevention and Mitigation for Engineering Structures)
Abstract One of the important geotechnical parameters required for designing of the civil engineering structure is the compressibility of the soil. In this study, the main purpose is to develop a novel hybrid Machine Learning (ML) model (ANFIS-DE), which used Differential Evolution (DE) algorithm to optimize the predictive capability of Adaptive-Network-based Fuzzy Inference System (ANFIS), for estimating soil Compression coefficient (Cc) from other geotechnical parameters namely Water Content, Void Ratio, Specific Gravity, Liquid Limit, Plastic Limit, Clay content and Depth of Soil Samples. Validation of the predictive capability of the novel model was carried out using… More >

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Computer Modelling in Disaster Prevention and Mitigation for Engineering Structures

Guest Editors

Summary

Keywords

Published Papers

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2090

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907

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1

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2136

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1042

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1983

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1250

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2170

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1226

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1737

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1032

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1699

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1128

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2391

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1691

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3336

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1809

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