A Benchmarking Method to Rank the Performance of Physics-Based Earthquake Simulations DOI
Octavi Gómez-Novell, Francesco Visini, Bruno Pace

et al.

Seismological Research Letters, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 14, 2024

Abstract Physics-based earthquake simulators are an increasingly popular modeling tool in forecasting for seismic hazard as well fault rupture behavior studies. Their popularity comes from their ability to overcome completeness limitations of real catalogs, and also because they allow reproducing complex interaction patterns via the physical processes involved nucleation propagation. One important challenge these models revolves around selecting input parameters that will yield better similarity relationships observed nature, instance, frictional rate-and-state law—a b—or initial normal shear stresses. Because scarcity empirical data, such often selected by trial–error exploration predominantly manual model performance analyses, which can overall be time consuming. We present a new benchmarking approach analyze rank relative simultaneous simulation catalogs quantitatively scoring combined fit three reference function types: (1) earthquake-scaling relationships, (2) shape magnitude–frequency distributions, (3) rates surface ruptures paleoseismology or paleoearthquake occurrences. The provides effective potentially more efficient approximation easily identify parameter combinations closely relations behavior. facilitates exhaustive analysis many combinations, identifying systematic correlations between outputs improve understanding physics-based models. Finally, we demonstrate how method results agree with published findings other evaluations, fact reinforces its usefulness. ranking useful subsequent particularly applications, selection appropriate occurrence rate weighting logic tree.

Language: Английский

AI-Driven Innovations in Earthquake Risk Mitigation: A Future-Focused Perspective DOI Creative Commons
Vagelis Plevris

Geosciences, Journal Year: 2024, Volume and Issue: 14(9), P. 244 - 244

Published: Sept. 15, 2024

This study explores the transformative potential of artificial intelligence (AI) in revolutionizing earthquake risk mitigation across six key areas. Unlike traditional approaches, this paper examines how AI-driven innovations can uniquely enhance early warning systems, enabling real-time structural health monitoring, and providing dynamic, multi-hazard assessments that seamlessly integrate seismic data with other natural hazards such as tsunamis landslides. It introduces groundbreaking applications AI earthquake-resilient design, where generative design algorithms predictive analytics create structures optimally balance safety, cost, sustainability. The also presents a novel discussion on ethical implications domain, stressing critical need for transparency, accountability, bias mitigation. Looking forward, manuscript envisions development advanced platforms capable delivering real-time, personalized assessments, immersive public training programs, collaborative tools adapt to evolving data. These promise not only significantly current preparedness but pave way toward future societal impact earthquakes is drastically reduced. work underscores AI’s role shaping safer, more resilient future, emphasizing importance continued innovation, governance, efforts.

Language: Английский

Citations

5
Comparative review of intelligent structural safety in building seismic risk mitigation utilizing an integrated artificial intelligence controller DOI Creative Commons
Normaisharah Mamat, Rawad Abdulghafor, Sherzod Turaev

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: 7(5)

Published: April 24, 2025

Language: Английский

Citations

0
Analysis of TEC variations and prediction of TEC by RNN during Indonesian earthquakes occurred from 2004 to 2024 and comparison with IRI-2020 model DOI
R. Mukesh, Sarat C. Dass,

M. Vijay

et al.

Advances in Space Research, Journal Year: 2024, Volume and Issue: 74(10), P. 4865 - 4905

Published: July 24, 2024

Language: Английский

Citations

2
Assessing Seismic Vulnerability Methods for RC-Frame Buildings Pre- and Post-Earthquake DOI Open Access
M. Samuel, Ergang Xiong, Mahmood Haris

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(23), P. 10392 - 10392

Published: Nov. 27, 2024

The seismic vulnerability of reinforced concrete (RC) buildings has been an important issue, especially in earthquake-prone regions with limited design codes such as South Sudan. Improving the performance is critical for maintaining structural functionality under normal service loads and rapid recovery after natural disasters earthquakes. This research aims to thoroughly assess methods used evaluate RC frame structures pre- post-earthquake scenarios. primary objective provide a comprehensive framework that integrates empirical, analytical, experimental methods, categorizing existing assessment proposing improvements resource-constrained environments. However, empirical have always historical earthquake data estimate potential damage. In contrast, analytical computational tools fragility curves probability damage at different intensities. Additionally, shaking table tests pseudo-dynamic analyses, validated theoretical predictions provided insights into behavior simulated conditions. Furthermore, key findings highlight vulnerabilities buildings, quantify probabilities, compare strengths limitations methods. challenges availability, limitations, difficulties replicating actual conditions test setups areas improvement. By addressing these challenges, review provides recommendations future studies, including integrating advanced regional hazard characterization improving enhance accuracy assessments, ultimately supporting more resilient increasing disaster preparedness.

Language: Английский

Citations

2
Sosialisasi Mitigasi Bencana Gempa Bumi dan Simulasi Teknologi Internet of Things (IoT) di Sekolah Madrasah Aliyah Negeri 1 Maluku Tengah DOI Creative Commons

Gazali Rachman,

Fredrik Manuhutu,

Jamaludin Jamaludin

et al.

AJAD Jurnal Pengabdian kepada Masyarakat, Journal Year: 2024, Volume and Issue: 4(1)

Published: April 30, 2024

The problem in Maluku is about earthquake mitigation and the lack of our young generation or students who master Internet Things (IoT) technology. reason why this issue should be a major concern because an earthquake-prone area. Providing understanding earthquakes carried out through outreach to schools so that it hoped teachers will become pioneers can provide knowledge for each family their respective environments. Apart from that, mastery IoT technology very important. This basis creating industrial era 4.0. among increasing students' To overcome problem, socialization simulation activities were which partners Community Service Program providing training application world. It mastering basic support innovative IoT-based learning processes. provides stimulus carry various experiments are more innovative, creative independent. Earthquake workshop at MAN 1 School, Central Maluku.

Language: Английский

Citations

1
Radar Wing Defender (RWD): Sistem untuk membantu para petani dalam mendeteksi dan pengusir hama burung DOI Creative Commons

Fawwaz Mulya Rabbani Fawwaz,

Rafi Fadhlurrahman,

Nadira Eka Putri

et al.

Jurnal Komputer dan Elektro Sains, Journal Year: 2024, Volume and Issue: 3(1), P. 16 - 22

Published: June 19, 2024

Around 90% of Indonesia's population uses rice as food. However, the production process has not been able to fully fulfil needs community, due several obstacles that affect productivity. Bird pests are one main causes disruption. Group birds known few tend cause problems. The purpose this research is get design an IoT-based bird repellent. This repellent consists two parts: hardware, or hard system, and software, soft system. An ESP32 microcontroller ultrasonic sensors used in prototype. Pest Prototype can be hammered automatically. As a result, existence prototype makes it easier for caregivers treat patient wounds case pest injuries; however, done more effectively efficiently because do need visit fields various injuries. Based on prototype, if sensor detects with range 0 4 metres, buzzer will sound, servo motor move lever bring radar-detected closer.

Language: Английский

Citations

0
A Benchmarking Method to Rank the Performance of Physics-Based Earthquake Simulations DOI
Octavi Gómez-Novell, Francesco Visini, Bruno Pace

et al.

Seismological Research Letters, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 14, 2024

Abstract Physics-based earthquake simulators are an increasingly popular modeling tool in forecasting for seismic hazard as well fault rupture behavior studies. Their popularity comes from their ability to overcome completeness limitations of real catalogs, and also because they allow reproducing complex interaction patterns via the physical processes involved nucleation propagation. One important challenge these models revolves around selecting input parameters that will yield better similarity relationships observed nature, instance, frictional rate-and-state law—a b—or initial normal shear stresses. Because scarcity empirical data, such often selected by trial–error exploration predominantly manual model performance analyses, which can overall be time consuming. We present a new benchmarking approach analyze rank relative simultaneous simulation catalogs quantitatively scoring combined fit three reference function types: (1) earthquake-scaling relationships, (2) shape magnitude–frequency distributions, (3) rates surface ruptures paleoseismology or paleoearthquake occurrences. The provides effective potentially more efficient approximation easily identify parameter combinations closely relations behavior. facilitates exhaustive analysis many combinations, identifying systematic correlations between outputs improve understanding physics-based models. Finally, we demonstrate how method results agree with published findings other evaluations, fact reinforces its usefulness. ranking useful subsequent particularly applications, selection appropriate occurrence rate weighting logic tree.

Language: Английский

Citations

0