Results 171 to 180 of about 209,990 (301)

Explainable artificial intelligence (XAI)‐powered design framework for lightweight strain‐hardening ultra‐high‐performance composites (SH‐UHPC)

Structural Concrete, EarlyView.
Abstract Lightweight strain‐hardening ultra‐high‐performance concrete composite (SH‐UHPC) is an outstanding alternative for engineering applications and infrastructure thanks to its outstanding strength, toughness, ductility, and low density. The integration of artificial intelligence (AI)‐based modeling strategies into engineering problems can ...
Metin Katlav, Kazim Turk
wiley   +1 more source

Geological controls on reservoir seismic responses. [PDF]

Sci Rep
Farfour M, Al-Awah H, Moustafa MSH, El-Ghali MAK.   +3 more
europepmc   +1 more source

TRM‐to‐concrete interface bond without anchors: Combined experimental, analytical, and numerical modeling approach

Structural Concrete, EarlyView.
Abstract Textile reinforced mortar (TRM) systems have emerged as an effective alternative to conventional FRP strengthening solutions due to their compatibility with concrete substrates and favorable performance under adverse environmental conditions.
Ömer Mercimek, Özlem Çalışkan, Özgür Anıl, R. Tuğrul Erdem, Murat Yüncüler   +4 more
wiley   +1 more source

Investigating the predictive power of seismic statistical features using ensemble learning. [PDF]

PLoS One
Quan W, Gorse D.
europepmc   +1 more source

Post‐earthquake field assessment and damage correlation of elevated reinforced concrete water tanks in Kahramanmaras/Elbistan, Türkiye

Structural Concrete, EarlyView.
Abstract This study evaluates the seismic performance of elevated reinforced concrete (RC) water tanks in the Elbistan region following the February 6, 2023 Kahramanmaras–Elbistan earthquakes. Field investigations, visual damage surveys, non‐destructive testing (ultrasonic pulse velocity—UPV), concrete compressive strength measurements, peak ground ...
Mustafa Eken
wiley   +1 more source

Understanding tens of thousands of pockmarks and domes using machine learning (Gulf of Lions, NW Mediterranean Sea). [PDF]

Sci Rep
Lion A, Bassetti MA, Berné S, Jatiault R.   +3 more
europepmc   +1 more source

Structural capacity of precast concrete walls with openings: A parametric study on connection types and reinforcement ratios

Structural Concrete, EarlyView.
Abstract The structural role of precast concrete walls with openings is often overlooked in design practice due to concerns about reduced stiffness, stress concentration, cracking around openings, and potential unexpected failure modes under seismic loading.
Gonçalo Marreneca, Ricardo do Carmo, André Furtado   +2 more
wiley   +1 more source

Machine learning-based ground motion simulation for seismic hazard assessment of critical water infrastructure in Azerbaijan (Case study: Major Shamkir water reservoir). [PDF]

PLoS One
Babayev T, Babayev G, Bayramov E, Irawan S, Neafie J, Aliyeva S.   +5 more
europepmc   +1 more source

Seismic processing and minicomputer.

Journal of the Japanese Association for Petroleum Technology, 1988
openaire   +2 more sources

Influence of natural fibers on physical, mechanical, and fire‐resistant properties of microconcrete

Structural Concrete, EarlyView.
Abstract This study examined the influence of natural fibers on the physical, mechanical, and fire‐resistant properties of microconcrete, in comparison with conventional polypropylene fibers used in cement composites. The fibers were characterized by FTIR and TGA/DSC to assess their composition and thermal stability, and FTIR was also performed after ...
Ivanka Netinger Grubeša, Sandra Juradin, Silvija Mrakovčić, Lidija Radovanović, Milica Vasić, Huseyin Bilgin   +5 more
wiley   +1 more source