Efficient probabilistic prediction of tsunami inundation considering random tsunami sources and the failure probability of seawalls

Y Fukutani, T Yasuda, R Yamanaka - Stochastic Environmental Research …, 2023 - Springer
Probabilistic tsunami inundation assessment ordinarily requires many inundation
simulations that consider various uncertainties; thus, the computational cost is very high. In …

Machine learning emulation of high resolution inundation maps

E Briseid Storrøsten… - Geophysical Journal …, 2024 - academic.oup.com
Estimating coastal tsunami impact for early-warning or long-term hazard analysis requires
the calculation of inundation metrics such as flow-depth or momentum flux. Both applications …

Surrogate modeling for transient electrochemical potential analysis for SOFC using proper orthogonal decomposition

M Sato, M Muramatsu, K Tozato, S Moriguchi… - Solid State Ionics, 2024 - Elsevier
This study presents a procedure for creating a surrogate model for the transient
electrochemical potential analysis of solid oxide fuel cells (SOFCs) by applying proper …

Optimization of a tsunami gauge configuration for pseudo‐super‐resolution of wave height distribution

S Fujita, R Nomura, S Moriguchi, Y Otake… - Earth and Space …, 2024 - Wiley Online Library
In this study, we present an optimization method for determining a cost‐effective sparse
configuration for tsunami gauges to realize the reconstruction of high‐resolution wave height …

Influence of seismological factors to earthquake-induced tsunami and sensitivity of structural response to orientations

M Naskar, SS Mayengbam, R Roy - Journal of Seismology, 2024 - Springer
The present paper aims to investigate the implications of the seismological factors (strike
angle, rake angle, dip angle, focal depth, and magnitude) on the characteristics (inundation …

Advancing nearshore and onshore tsunami hazard approximation with machine learning surrogates

N Ragu Ramalingam, K Johnson… - … Hazards and Earth …, 2024 - nhess.copernicus.org
Probabilistic tsunami hazard and risk assessment (PTHA and PTRA) are vital methodologies
for computing tsunami risk and prompt measures to mitigate impacts. At large regional …

[HTML][HTML] Optimal probabilistic placement of facilities using a surrogate model for 3D tsunami simulations

K Tozato, S Moriguchi, S Takase… - … hazards and earth …, 2023 - nhess.copernicus.org
This study proposes a framework for utilizing results obtained from advanced numerical
simulations and performing probabilistic tsunami hazard assessment for investigating …

[PDF][PDF] Advancing nearshore and onshore tsunami hazard approximation with machine learning surrogates

NR Ramalingam, K Johnson, M Pagani, MLV Martina - scholar.archive.org
Probabilistic tsunami hazard and risk assessment (PTHA and PTRA) are vital methodologies
for computing tsunami risk and prompt measures to mitigate impacts. At large regional …

空間特徴量抽出を援用したPINNs によるパラメータ逆解析の効率化

出口翔大, 柴田洋佑, 浅井光輝 - 土木学会論文集, 2023 - jstage.jst.go.jp
抄録 頻発化・激甚化する豪雨災害およびそれに伴う土砂災害に対して, 数値シミュレーションによる
予測が求められている. 大規模なシミュレーションを実施する際, 計算資源の制約から幾つかの近似 …

自律的な基底選択に基づく即時再構成シミュレーション

大竹雄, 庄司大河, 肥後陽介, 吉田郁政 - 土木学会論文集, 2023 - jstage.jst.go.jp
抄録 近年, 大規模災害に対するインフラ施設のレジリエンス性向上の重要性が指摘されている.
本研究は, 構造物設計側からレジリエンス性能向上へ貢献するためのモニタリング設計法の構築を …