Results 141 to 150 of about 243,337 (305)

STRENGTHENING (POST-STRESS) OF MASONRY BUILDINGS METHOD OF VERTICALIZATION OF LOAD [PDF]

open access: yes, 2012
Um método para recuperação das fendas nos arcos em ...
Morais, António, Sazedj, Soheyl
core  

The power of the past: materializing collective memory at early medieval lordly centres

open access: yesEarly Medieval Europe, EarlyView.
The repurposing of earlier sites and monuments is an enduringly popular theme in early medieval archaeology, but in England it has attracted little interest among Late Saxon and early post‐Conquest studies. From the tenth century, however, an increasingly prevalent pattern is discernible of secular lords locating their power centres in relation to ...
Duncan W. Wright   +7 more
wiley   +1 more source

Influence of composition of mortar mixture on strength and deformability of external walls/Skiedinio sudėties įtaka išorinių sienos sluoksnių stiprumui ir deforma vimuisi

open access: yesJournal of Civil Engineering and Management, 2000
The basic element of building, wall, must satisfty not only requirements for strength, stability, but also for cracking. Experiments and practice show that in many cases external decoration layers of external walls are cracked.
Gediminas Marčiukaitis   +1 more
doaj   +1 more source

Large language model for post‐earthquake structural damage assessment of buildings

open access: yesComputer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract A rapid and accurate assessment of structural damage to buildings in the aftermath of earthquakes is critical to emergency responses and engineering retrofit decisions. However, current in situ building damage assessment is primarily conducted through visual inspections by engineering professionals and deep learning techniques using single ...
Yongqing Jiang   +3 more
wiley   +1 more source

A comparison between the MEXE and Pippard's methods of assessing the load carrying capacity of masonry arch bridges [PDF]

open access: yes, 2013
The Military Engineering eXperimental Establishment (MEXE) method is a long established system of masonry arch load carrying capacity assessment. It has been subject to review in recent years and some shortcomings have been identified.
Haynes, BJ, Melbourne, C, Wang, J
core  

Efficient unsupervised domain adaptation for crack segmentation with interpretable Fourier– Morphology blending and Uncertainty‐guided self‐training

open access: yesComputer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Automated crack segmentation models are vital for infrastructure monitoring but fail when deployed in new domains. Overcoming this domain shift without costly re‐annotation is vital. This paper presents a novel unsupervised domain adaptation framework that uniquely integrates Fourier‐based style transfer with targeted morphological operators ...
Saheli Bhattacharya   +4 more
wiley   +1 more source

Design of bond strength testing method of concrete layers for creating a material model

open access: yesActa Polytechnica CTU Proceedings
The need to determine the bond strength of concrete layers in structural modeling is quite frequent and often encounters a lack of relevant experimental data due to the large number of variables which affect the bond strength.
Marek Kříž   +3 more
doaj   +1 more source

SEISMIC DAMAGE OF BELL TOWERS [PDF]

open access: yes, 2013
some studies on towers after recent earthquake in Emilia Romagna ...
Di Tommaso, Angelo
core   +1 more source

From pixels to rating—A semiautomated system linking multi‐damage segmentation and condition rating in concrete bridge inspections

open access: yesComputer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract While machine learning (ML) has advanced image‐based damage detection, a critical gap remains: the automated translation of detected damage into standardized condition ratings used in structural assessments. Most existing approaches stop at semantic segmentation, overlooking the damage rating step essential for practical inspections.
Rona Firdes Çelik   +2 more
wiley   +1 more source

Evaluating the impact of climate change on hurricane wind risk: A machine learning approach

open access: yesRisk Analysis, EarlyView.
Abstract In the residential sector, hurricane winds are a major contributor to storm‐related losses, with substantial annual costs to the US economy. With the potential increase in hurricane intensity in changing climate conditions, hurricane impacts are expected to worsen.
Chi‐Ying Lin, Eun Jeong Cha
wiley   +1 more source

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