Numerical simulation of concrete retaining blocks for bridge based on ABAQUS

IF 2.6 4区 计算机科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Big Data Pub Date : 2022-03-01 DOI:10.1109/icitbs55627.2022.00121
Wenpeng Wu, Lin Yang, Hongyun Zhang
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Abstract

In order to deeply study the functional feasibility and seismic performance of the new prefabricated retaining wall, the finite element models of different retaining walls are established and compared with the test results. The effects of structural materials and structural forms on the seismic failure mode of retaining wall are discussed. The results show that the established finite element numerical model can well simulate the damage state of different types of concrete blocks in laboratory tests. The new post tensioned unbonded precast UHPC block can meet the requirements of higher lateral bearing capacity, displacement capacity and self resetting capacity at the same time.
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基于ABAQUS的桥梁混凝土挡土块数值模拟
为了深入研究新型预制挡土墙的功能可行性和抗震性能,建立了不同挡土墙的有限元模型,并与试验结果进行了比较。讨论了结构材料和结构形式对挡土墙地震破坏模式的影响。结果表明,所建立的有限元数值模型能较好地模拟不同类型混凝土砌块在室内试验中的损伤状态。新型后张无粘结预制UHPC砌块能够同时满足较高的横向承载力、位移能力和自复位能力的要求。
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来源期刊
Big Data
Big Data COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-COMPUTER SCIENCE, THEORY & METHODS
CiteScore
9.10
自引率
2.20%
发文量
60
期刊介绍: Big Data is the leading peer-reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. The Journal addresses questions surrounding this powerful and growing field of data science and facilitates the efforts of researchers, business managers, analysts, developers, data scientists, physicists, statisticians, infrastructure developers, academics, and policymakers to improve operations, profitability, and communications within their businesses and institutions. Spanning a broad array of disciplines focusing on novel big data technologies, policies, and innovations, the Journal brings together the community to address current challenges and enforce effective efforts to organize, store, disseminate, protect, manipulate, and, most importantly, find the most effective strategies to make this incredible amount of information work to benefit society, industry, academia, and government. Big Data coverage includes: Big data industry standards, New technologies being developed specifically for big data, Data acquisition, cleaning, distribution, and best practices, Data protection, privacy, and policy, Business interests from research to product, The changing role of business intelligence, Visualization and design principles of big data infrastructures, Physical interfaces and robotics, Social networking advantages for Facebook, Twitter, Amazon, Google, etc, Opportunities around big data and how companies can harness it to their advantage.
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