Numerical Simulation of the Liquefaction Phenomenon by MPSM-DEM Coupled CAES

Nakao, Kenzo; Inazumi, Shinya; Takahashi, Tsuyoshi; Nontananandh, Supakij

doi:10.3390/su14127517

Cited by 17 publications

(9 citation statements)

References 41 publications

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Section: Cae and Mps Methodsmentioning

confidence: 99%

“…Computer-aided engineering (CAE) [4][5][6][7][8] refers to the technology that helps to simulate and analyze large-scale construction experiments from the various stages using the prototypes on a computer. These prototypes are created by CAD (computeraided design) and others, considering the surrounding conditions [4][5][6][7][8]. In the field of geotechnical engineering, CAE can be used to visualize the inside of the soil and the stress acting on the inside of the soil, and to understand experiments that would require huge costs and/or phenomena that would be difficult to reproduce.…”

Section: Cae and Mps Methodsmentioning

confidence: 99%

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Soil Behavior Modeling by MPS-Cae Simulation

Shakya¹

2023

GEOMATE

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Many numerical simulation methods have been developed in the current research field. The authenticity of the simulation-based research depends on the accuracy of the model prepared. The modeling of the soil becomes challenging when there is the presence of water and the soil starts behaving like a fluid. This study focuses on the application of the MPS (moving particle semi-implicit) -CAE (computer-aided engineering) method to design the setup for the unconfined compression test to determine the correct parameters of the soil model. The soil material is assumed to be Bingham fluid and will be employed as a biviscosity model, where the soil particle exists at both rigid and fluid states depending upon the condition. The best-fitting soil model was designed for the primary parameters and is compared with the benchmark soil data to justify the claim. Furthermore, the authors endeavored to find the secondary governing factors that will affect the accuracy of the soil modeling. The results show that the values of the primary parameters are influenced by the values of the secondary parameters, resulting in a different model. The influence of the secondary parameters was studied, and the best-fitting soil model was designed by incorporating both primary and secondary parameters. The resultant soil model is expected to provide more accurate results if used as a reference in various construction simulations.

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Section: Cae and Mps Methodsmentioning

confidence: 99%

Section: Cae and Mps Methodsmentioning

confidence: 99%

Soil Behavior Modeling by MPS-Cae Simulation

Shakya¹

2023

GEOMATE

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“…The adoption of the Moving Particle Simulation (MPS) method with Computer Aided Engineering (CAE), that is MPS-CAE simulation in geotechnical engineering represents a significant step towards more sustainable construction practices [76][77][78][79][80][81][82][83][84][85][86]. In particular, Inazumi et al [14] innovatively applied MPS-CAE simulation to analyze and elucidate the intricate construction mechanisms underlying jet grouting technology.…”

Section: New Innovative Mps-cae Simulationmentioning

confidence: 99%

A Comprehensive Review of Sustainable Assessment and Innovation in Jet Grouting Technologies

Inazumi,

Shakya

2024

Preprint

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This paper undertakes a comprehensive review to underscore the central role of sustainability in the evaluation and innovation of jet grouting technologies. It meticulously traces the evolution of evaluation methodologies, emphasizing the imperative of sustainable practices throughout history. Traditional evaluation paradigms are examined alongside contemporary trends, with a particular focus on sustainability metrics and visualization techniques. Through an examination of innovative jet grouting technologies, this paper illustrates how sustainability principles have driven advancements aimed at improving the efficiency and environmental impact of jet grouting methods. Central to this review is an assessment of sustainability across multiple dimensions, including method applicability, installation and operational compatibility, and the performance of the resulting jet grouted piles. By emphasizing sustainability considerations, the paper highlights the intrinsic link between environmental integrity and technological innovation in the field of jet grouting. In addition, it discusses analytical evaluation methods designed to proactively address sustainability concerns prior to construction, thereby promoting a more environmentally responsible approach. Finally, this paper presents a pioneering evaluation framework that integrates real-time monitoring and visualization tools, allowing stakeholders to track sustainability milestones throughout the construction process. By emphasizing sustainability as a guiding principle, this review advocates for a paradigm shift toward more ecologically sound and resilient jet grouting practices.

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“…Hence, the effectiveness of the available approaches for designing civil engineering structures in areas prone to liquefaction-induced lateral spreading is directly linked to the Dh value [1]. This phenomenon, which can have serious consequences, was particularly documented in a seminal study [2][3][4][5]. The sudden instability of the ground during such events can lead to the catastrophic destruction of buildings and infrastructures, resulting in significant economic losses as well as the tragic loss of human life.…”

Section: Introductionmentioning

confidence: 99%

Integration of Smart City Technologies with Advanced Predictive Analytics for Geotechnical Investigations

Cong,

Inazumi

2024

Smart Cities

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This paper addresses challenges and solutions in urban development and infrastructure resilience, particularly in the context of Japan’s rapidly urbanizing landscape. It explores the integration of smart city concepts to combat land subsidence and liquefaction, phenomena highlighted by the 2011 Great East Japan Earthquake. Additionally, it examines the current situation and lack of geoinformation and communication technology in the concept of smart cities in Japan. Consequently, this study employs advanced technologies, including smart sensing and predictive analytics through kriging and ensemble learning, with the objective of enhancing the precision of geotechnical investigations and urban planning. By analyzing data in Setagaya, Tokyo, it develops predictive models to accurately determine the depth of bearing layers that are critical to urban infrastructure. The results demonstrate the superiority of ensemble learning in predicting the depth of bearing layers. Two methods have been developed to predict undetected geographic data and prepare ground reality and digital smart maps for the construction industry to build smart cities. This study is useful for real-time analysis of existing data, for the government to make new urban plans, for construction companies to conduct risk assessments before doing their jobs, and for individuals to obtain real-time geographic data and hazard warnings through mobile phones and other means in the future. To the best of our knowledge, this is the first instance of predictive analysis of geographic information being conducted through geographic information, big data technology, machine learning, integrated learning, and artificial intelligence.

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Numerical Simulation of the Liquefaction Phenomenon by MPSM-DEM Coupled CAES

Cited by 17 publications

References 41 publications

Soil Behavior Modeling by MPS-Cae Simulation

Soil Behavior Modeling by MPS-Cae Simulation

A Comprehensive Review of Sustainable Assessment and Innovation in Jet Grouting Technologies

Integration of Smart City Technologies with Advanced Predictive Analytics for Geotechnical Investigations

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