Results 141 to 150 of about 1,506 (212)

Evolution and Numerical Prediction of Fatigue‐Controlled Regions in Bolted–Welded Joints of Steel Truss Bridges

Engineering Reports, Volume 8, Issue 8, August 2026.
A three‐dimensional nonlinear refined finite element model for bolted and welded nodes in steel truss bridges identifies fatigue‐critical regions and governing mechanisms, enabling a fatigue life prediction method that supports safety assessment and durability design.
Zian Zhang, Haoran Jiang, Yong Wang, Gangnian Xu, Zihao Li, Yanlei Zhou, Junyan Wu   +6 more
wiley   +1 more source

Multiscale Simulation of Nanowear-Resistant Coatings. [PDF]

Materials (Basel)
Liu X, Gao K, Chen P, Yin L, Yang J.
europepmc   +1 more source

Physics Constraint‐Guided Neural Network for Solving Partial Differential Equations

Engineering Reports, Volume 8, Issue 8, August 2026.
A Physics Constraint‐Guided Network (PCGN) is proposed to solve partial differential equations by integrating physical encoding, adaptive residual balancing, and constraint projection. The framework enables stable constraint propagation, improves physical consistency, and achieves higher accuracy and robustness compared with existing neural network ...
Zhihui Hou, Yaxu Peng
wiley   +1 more source

Profile of Thomas Y. Hou. [PDF]

Proc Natl Acad Sci U S A
Viegas J.
europepmc   +1 more source

Generalization of mixed multiscale finite element methods with applications [PDF]

, 2016
openaire   +1 more source

Stability Evaluation and Parametric Optimization of Coal‐Concrete Composite Bearing Systems Under Mine‐Water‐Induced Deterioration: Experiments and FEINN Analysis

Energy Science &Engineering, Volume 14, Issue 8, Page 3697-3725, August 2026.
Mine‐water immersion tests reveal pronounced coal weakening (vs. minor concrete degradation), identifying coal pillars as the stability‐limiting component in composite dams. A coupled FEINN framework quantifies extreme‐pressure stability and ranks multi‐parameter designs via a normalized multi‐indicator scheme, enabling optimized dam configuration for ...
He Wen, Hongchuan Dai, Guixin Zhang, Pengzhe Li, Tong Yang, Cang Gong, Renbo Gao   +6 more
wiley   +1 more source

Numerical Analysis of Aggregate Debonding in Asphalt Concrete. [PDF]

Materials (Basel)
Klimczak M, Oleksy M.
europepmc   +1 more source

Deep Learning‐Driven Computational Imaging for Noninvasive Monitoring System of Brain Temperature and Metabolism: A Hypothermia Validation for Acute Ischemic Stroke

MedComm, Volume 7, Issue 8, August 2026.
This study presents the first proof‐of‐concept framework for 3D brain temperature and metabolism imaging using deep learning and clinical validation. An integrated multimodal instrument enables noninvasive neuro‐monitoring, while MRI‐based 3D modeling and computational imaging improve prediction accuracy, visualization quality, and spatial resolution ...
Tianhang Yang, Qihan Zhang, Yilun Huang, Yuan Wang, Fuzhi Cao, Xin Zhang, Ming Wei, Qingfeng Ma, Hongzhi Kuai, Ming Li, Jianzhuo Yan, Miaowen Jiang, Xunming Ji   +12 more
wiley   +1 more source

Data-driven multiscale design of composite biomaterials: Integrating experiments, imaging, and computational modeling for biomedical engineering. [PDF]

Mater Today Bio
Chen K, Li Y, Xuan Y, Khan M, Wang X, Zhang X, Guo F.   +6 more
europepmc   +1 more source

Modeling Biocemented Sands: Hypoplastic Model for MICP‐Based Ground Improvement

International Journal for Numerical and Analytical Methods in Geomechanics, Volume 50, Issue 12, Page 4893-4912, 25 August 2026.
ABSTRACT Bio‐cementation offers a sustainable and low‐carbon alternative to conventional ground improvement methods, aligning with the growing demand for green geotechnical solutions. To enable reliable numerical simulation of bio‐cemented soil behavior in engineering applications, advanced constitutive models are required to account for the effects of
Merita Tafili, Hossam Abdellatif, Nazanin Irani, Torsten Wichtmann   +3 more
wiley   +1 more source