Performance comparison of physics engines to accelerate house-collapsing simulations

Hamano, Takuto; Onosato, Masahiko; Tanaka, Fumiki

doi:10.1109/ssrr.2016.7784327

Cited by 11 publications

(7 citation statements)

References 11 publications

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“…The workshop offered a number of presentations on FGF fragility, and some observations of toppled FGFs during the M7.1 2019 Ridgecrest earthquake. One study (Arrowsmith's presentation) showed the use of machine learning methods and physics-based rigid-body dynamics simulations to examine whether the observed size-frequency distributions of fields of PBRs could be a consequence of strong ground motions (Erez et al, 2015;Hamano et al, 2016). The concept of PBRs being produced as well as destroyed by strong ground motions has also been suggested by the Stirling et al (2019) study in New Zealand.…”

Section: Fragilitymentioning

confidence: 99%

Evaluation of Seismic Hazard Models with Fragile Geologic Features

Stirling

Oskin

Arrowsmith

et al. 2020

Seismological Research Letters

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We provide an overview of a 2019 workshop on the use of fragile geologic features (FGFs) to evaluate seismic hazard models. FGFs have been scarcely utilized in the evaluation of seismic hazard models, despite nearly 30 yr having passed since the first recognition of their potential value. Recently, several studies have begun to focus on the implementation of FGFs in seismic hazard modeling. The workshop was held to capture a “snapshot” of the state-of-the-art in FGF work and to define key research areas that would increase confidence in FGF-based evaluation of seismic hazard models. It was held at the annual meeting of the Southern California Earthquake Center on 8 September 2019, and the conveners were Mark Stirling (University of Otago, New Zealand) and Michael Oskin (University of California, Davis). The workshop attracted 44 participants from a wide range of disciplines. The main topics of discussion were FGF fragility age estimation (age at which an FGF achieved its current fragile geometry), fragility estimation, FGF-based evaluation of seismic hazard models, and ethical considerations relating to documentation and preservation of FGFs. There are now many scientists working on, or motivated to work on, FGFs, and more types of FGFs are being worked on than just the precariously balanced rock (PBR) variety. One of the ideas presented at the workshop is that fragility ages for FGFs should be treated stochastically rather than assuming that all share a common age. In a similar vein, new studies propose more comprehensive methods of fragility assessment beyond peak ground acceleration and peak ground velocity-based approaches. Two recent studies that apply PBRs to evaluate probabilistic seismic hazard models use significantly different methods of evaluation. Key research needs identified from the workshop will guide future, focused efforts that will ultimately facilitate the uptake of FGFs in seismic hazard analysis.

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Section: Fragilitymentioning

confidence: 99%

Evaluation of Seismic Hazard Models with Fragile Geologic Features

Stirling

Oskin

Arrowsmith

et al. 2020

Seismological Research Letters

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“…• Urban search and rescue (USAR) [118]- [121] • Assisting in disaster scenarios through various tasks [5] • Multi-robot patrolling [122] • Autonomous pedestrian following (following security personnel in a patrol) [104] Extreme environments…”

Section: Agriculturementioning

confidence: 99%

Emerging Trends in Realistic Robotic Simulations: A Comprehensive Systematic Literature Review

Kargar,

Yordanov,

Harvey

et al. 2024

IEEE Access

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Simulation plays a pivotal role in providing safely reproducible scenarios to evaluate the ever-advancing domain of computer science and robotics. It was an essential part of the pandemic when no access to physical spaces was available. The advent of AI-powered platforms in conjunction with enhanced graphics, physics and other sensory engines attracts a new breed of interdisciplinary researchers to enter the robotic field, most notably from computer science, engineering and social sciences. Integration of ROS as a uniform middleware to deploy achieved outcomes in real practice provides an opportunity to move one step closer to the sim-to-real experiences that enables researchers to test ideas beyond the close laboratory spaces. There is a lack of comprehensive evaluation of ROS-enabled simulators, and the integration of advanced AI techniques for realistic scenario replication. This paper addresses this challenge by evaluating ROSenabled simulators in the design and implementation of AI techniques through an in-depth systematic literature review (SLR). This SLR is guided by the research and commercial market demands, employing Population, Intervention, Comparison, Outcome, and Context (PICOC) and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) frameworks with a major focus on Wheeled Mobile Robots (WMRs). We also highlight the increasing importance of game engines like Unity and Unreal in future of robotic simulations, especially under modelling close to real experiences. By comparing simulation platform features and capabilities, this paper offers guidance to developers and researchers, enabling them to select the most suitable platform for their projects efficiently that contradicts the commonly in use "one size fits all" approach. Finally, based on the thorough insights from the review, we identify and suggest some key future research directions in AI-enhanced realistic robotic simulations.

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“…The falling debris model as rigid‐body model allows for calculation through the physics engine 14–16 . Xu et al 17 .…”

Section: Introductionmentioning

confidence: 99%

“…The falling debris model as rigid-body model allows for calculation through the physics engine. [14][15][16] Xu et al 17 employs a physics engine to replicate the dynamics of the descent and subsequent impact of extensive debris after a bridge collapse. Domaneschi et al 42 proposed a novel application of the Applied Element Method (AEM) for simulating the collapse of masonry structures, which effectively predicted the impact of building debris on the transportation network.…”

Section: Introductionmentioning

confidence: 99%

An integrated simulation method for large‐scale earthquake‐induced falling debris in building groups

Xu,

Zhu,

et al. 2024

Earthq Engng Struct Dyn

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When building groups are subjected to earthquakes, the potential hazard of exterior falling debris poses a significant risk of causing severe injuries and fatalities. In this study, an integrated simulation method of the large‐scale earthquake‐induced exterior falling debris for building groups is proposed, which includes modeling, calculation, and visualization. Firstly, a modeling algorithm is established for falling debris models of building groups. This algorithm employs the Octree algorithm to support the transformation of the three‐dimensional (3D) building surface model into falling debris models. Subsequently, the generated falling debris models are aggregated using a density clustering algorithm, and their motion is efficiently calculated based on the physics engine and time history analysis. Finally, a cooperative visualization algorithm is developed to effectively present a 3D scene that incorporates both structural displacement and the motion of falling debris in building groups. The actual distribution of exterior falling debris during the earthquake in Turkey validates the proposed simulation method, which is then integrally applied to the Beijing central business district. This integrated simulation method has the capability to provide a large‐scale 3D scene of falling debris for the virtual safety drills of earthquake evacuation and rescue within urban building groups.

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Performance comparison of physics engines to accelerate house-collapsing simulations

Cited by 11 publications

References 11 publications

Evaluation of Seismic Hazard Models with Fragile Geologic Features

Evaluation of Seismic Hazard Models with Fragile Geologic Features

Emerging Trends in Realistic Robotic Simulations: A Comprehensive Systematic Literature Review

An integrated simulation method for large‐scale earthquake‐induced falling debris in building groups

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