Seawater sea-sand engineered/strain-hardening cementitious composites (ECC/SHCC): Assessment and modeling of crack characteristics

BT Huang, JQ Wu, J Yu, JG Dai, CKY Leung… - Cement and Concrete …, 2021 - Elsevier
Abstract Seawater sea-sand Engineered Cementitious Composites (SS-ECC) is a new
version of ECC for marine constructions facing the scarcity of freshwater and …

Highly accurate and automatic semantic segmentation of multiple cracks in engineered cementitious composites (ECC) under dual pre-modification deep-learning …

Z Hao, C Lu, Z Li - Cement and Concrete Research, 2023 - Elsevier
Engineered cementitious composites (ECCs) are characterized by multiple cracking
behaviors, high tensile-strain capacity, and excellent crack-control ability. Representative …

Multistage semisupervised active learning framework for crack identification, segmentation, and measurement of bridges

Y Zheng, Y Gao, S Lu… - Computer‐Aided Civil and …, 2022 - Wiley Online Library
In bridge health monitoring (BHM), crack identification and width measurement are two of
the most important indices for evaluating the functionality of bridges. In order to reduce the …

Effect of polyethylene fiber content on physical and mechanical properties of engineered cementitious composites

Y Wang, F Liu, J Yu, F Dong, J Ye - Construction and Building Materials, 2020 - Elsevier
A series of experiments were conducted to study the effect of polyethylene (PE) fiber content
(0%, 1%, 1.5% and 2% volume fraction) on mesoscopic and macroscopic behaviors of the …

Machine learning based crack mode classification from unlabeled acoustic emission waveform features

AK Das, D Suthar, CKY Leung - Cement and Concrete Research, 2019 - Elsevier
As the cracking mode (tensile or shear) of a crack is related to the underlying physical
mechanisms, crack mode classification is a very useful method to identify the damage state …

Zernike‐moment measurement of thin‐crack width in images enabled by dual‐scale deep learning

FT Ni, J Zhang, ZQ Chen - Computer‐Aided Civil and …, 2019 - Wiley Online Library
Although crack inspection is a routine practice in civil infrastructure management (especially
for highway bridge structures), it is time‐consuming and safety‐concerning to trained …

CNN-based pavement defects detection using grey and depth images

P Li, B Zhou, C Wang, G Hu, Y Yan, R Guo… - Automation in …, 2024 - Elsevier
This paper introduces a method for detecting pavement defects based on convolutional
neural networks. First, grey and depth image data were acquired using a 3D pavement …

Performance-based design of all-grade strain hardening cementitious composites with compressive strengths from 40 MPa to 120 MPa

L Li, Z Cai, K Yu, YX Zhang, Y Ding - Cement and Concrete Composites, 2019 - Elsevier
A systematic study of the tensile properties of all-grade strain hardening cementitious
composite (SHCC) from normal strength to high strength was conducted in the present …

Deep learning algorithm for real-time automatic crack detection, segmentation, qualification

G Xu, Q Yue, X Liu - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Cracking is one of the typical damages in concrete structures, and it is crucial to detect and
quantify cracks in a timely and efficient manner. However, current research primarily focuses …

Structural behaviors of ultra-high performance engineered cementitious composites (UHP-ECC) beams subjected to bending-experimental study

Y Ding, KQ Yu, J Yu, S Xu - Construction and Building Materials, 2018 - Elsevier
The structural behaviors of steel reinforced ultra-high performance engineered cementitious
composites (UHP-ECC) beams under bending were experimentally explored and compared …