Results 241 to 250 of about 54,143 (305)
In Situ Damage Detection Method for Metallic Shear Plate Dampers Based on the Active Sensing Method and Machine Learning Algorithms. [PDF]
Li Y +6 more
europepmc +1 more source
ABSTRACT Damage to non‐structural elements significantly impacts the seismic performance of buildings in terms of economic and functionality losses. Consequently, performance‐based seismic design of non‐structural elements has become a key pillar of a comprehensive building‐seismic resilience strategy, for instance, through loss‐targeted earthquake ...
Roberto J. Merino +2 more
wiley +1 more source
Study on the Mechanical Property Degradation Laws of 6061-T6 Aluminum Alloy Under the Synergistic Effect of Corrosion and Cyclic Loading. [PDF]
Long Q +6 more
europepmc +1 more source
Behavior of Long‐Slotted Perforated Steel Plate Fuses in Timber Brace End Connections
ABSTRACT Steel perforated plate fuses have emerged as a promising solution for mass timber seismic force‐resisting systems, offering tunable energy dissipation mechanisms, such as flexural and shear yielding, through geometric adjustments. This study examines the cyclic performance of perforated steel plate fuses employed in timber braced frames, with ...
Yahia Ahmed +2 more
wiley +1 more source
Liquefaction analysis of marine diversion dike foundation and gravel pile reinforcement treatment based on the PL-Finn model. [PDF]
Zhao J, Lin Y, Fan Y, Yu X.
europepmc +1 more source
ABSTRACT Reinforced concrete pier walls designed before the 1970s often incorporate lap splice in potential plastic‐hinge regions. Previous experimental tests indicate that most of pier walls experienced post‐yield lap splice failure, necessitating a modeling approach that captures not only lap splice strength but also deformation capacity.
Gun Chan Lee +2 more
wiley +1 more source
Mantle-derived fluid flux controls Olympic Dam-style Fe oxide-Cu-Au mineralisation. [PDF]
Thiel S +4 more
europepmc +1 more source
Landslide susceptibility mapping in India's Western Ghats using machine learning revealed high‐risk zones driven by deforestation, slope alteration and road proximity. The Random Forest model showed highest accuracy, supporting targeted mitigation, planning and early warning systems.
Manoranjan Mishra +4 more
wiley +1 more source
Dual slab stagnation depths controlled by grain-size-induced sporadic low-viscosity zones at around 1000 km depth. [PDF]
Li J, Li K, Li J, Fei H, Hu J.
europepmc +1 more source
As fragility and risk modeling techniques and computational capabilities evolve, complemented by moving toward more routine and systematic seismic risk assessment of all buildings and critical infrastructure, the authors pose a few critical questions to investigate how the U.S. Geological Survey (USGS) National Seismic Hazard Models (NSHMs) can be used
Kishor S. Jaiswal, N. Simon Kwong
wiley +1 more source

