Article
Construction & Building Technology
Senlin Yang, Zhengfang Wang, Jing Wang, Anthony G. Cohn, Jiaqi Zhang, Peng Jiang, Lichao Nie, Qingmei Sui
Summary: This work presents a defect segmentation approach for tunnel lining internal defects using Ground Penetrating Radar (GPR) data. It utilizes a CNN named Segnet with the Lovasz softmax loss function to enhance accuracy, automation, and efficiency of defect identification, overcoming problems in standard GPR data interpretation. Experiments with synthetic and actual data confirm the effectiveness of the innovative method.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Geochemistry & Geophysics
Bin Liu, Yuxiao Ren, Hanchi Liu, Hui Xu, Zhengfang Wang, Anthony G. Cohn, Peng Jiang
Summary: GPRInvNet is a deep neural network architecture for inverting subsurface structures from ground-penetrating radar (GPR) B-Scan data, capable of effectively reconstructing complex defects in tunnel linings. By fusing features from adjacent traces to enhance each trace and further condensing features, it achieves accurate spatial alignment.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Chemistry, Multidisciplinary
Chuan Li, Yue Zhang, Lulu Wang, Weiping Zhang, Xi Yang, Xiumei Yang
Summary: Ground-penetrating radar (GPR) is used to detect tunnels by analyzing the attenuation and reflection coefficients of electromagnetic waves. The rebar is recognized by reconstructing its hyperbolic feature using the negative peak points in the A-scan. This method was successfully applied in the Husa Tunnel in Yunnan Province, China, and showed evident hyperbolic features of the reconstructed rebar in the B-scan.
APPLIED SCIENCES-BASEL
(2023)
Article
Construction & Building Technology
Hui Qin, Donghao Zhang, Yu Tang, Yuanzheng Wang
Summary: This study presents a deep learning-based automatic recognition method for identifying tunnel lining elements, such as steel ribs, voids, and initial linings from GPR images. By combining various neural network structures and generative adversarial networks, accurate recognition of GPR images was achieved, with improved performance through data augmentation with synthetic images.
AUTOMATION IN CONSTRUCTION
(2021)
Article
Construction & Building Technology
Gaohang Lv, Jian Liu, Quanyi Xie, Kang Wang, Bo Han
Summary: This paper proposes an intelligent approach to differentiate defects behind tunnel linings using a model test and feature parameter analysis, enabling efficient and accurate analysis of GPR signals. The model test reveals differences in amplitude, signal entropy, standard deviation, and other feature parameters between defect and non-defect GPR data. Based on these parameters, a GPR-based automatic identification method is proposed, achieving a defect recognition rate of 96% through a field test. This program is highly accurate and feasible for detecting defects behind tunnel linings with the aid of GPR.
JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES
(2023)
Article
Chemistry, Analytical
Xianlong Wu, Xiaohua Bao, Jun Shen, Xiangsheng Chen, Hongzhi Cui
Summary: In this study, ground-penetrating radar (GPR) was used for tunnel lining void detection, and a forward model based on the finite difference time domain (FDTD) method was established to simulate the detection process. The rationality of the model was verified by measured data. The study found that the response mode of voids depends on their width, and water filling increases the response range of the voids and produces a virtual image, while the interference caused by steel bars does not significantly affect the positioning of the voids using 3D GPR.
Article
Environmental Sciences
Yuanzheng Wang, Hui Qin, Yu Tang, Donghao Zhang, Donghui Yang, Chunxu Qu, Tiesuo Geng
Summary: In this work, a method for improving the identification of tunnel lining voids using a rebar clutter elimination network (RCE-GAN) based on generative adversarial networks is proposed. The network utilizes cycle-consistency loss to learn high-level features between unpaired GPR images and includes attention module and dilation center part to enhance performance. Validation on synthetic and real-world GPR images demonstrates the potential of the proposed method for its lower demand on the training dataset and improvement in the identification of tunnel lining voids.
Review
Construction & Building Technology
Jing Wang, Jiaqi Zhang, Anthony G. G. Cohn, Zhengfang Wang, Hanchi Liu, Wenqiang Kang, Peng Jiang, Fengkai Zhang, Kefu Chen, Wei Guo, Yanfei Yu
Summary: This paper presents an automatic scheme based on (RDCNN)-D-2 and GPR images for accurate detection of defects and rebars in tunnel lining. Experimental results show that (RDCNN)-D-2 outperforms (RCNN)-C-2 in both synthetic and real GPR images.
AUTOMATION IN CONSTRUCTION
(2022)
Article
Computer Science, Interdisciplinary Applications
J. Hunziker, E. C. Slob, J. Irving
Summary: To address the computational cost issue in modeling GPR reflection data on glaciers, the authors propose a semi-analytical method based on the assumption of a homogeneous background medium. By representing scattering surfaces with planar elements and considering the antenna radiation pattern, this method can produce realistic 3D GPR data in a fast and memory efficient way. The algorithm is validated with an analytical solution for a layered model and applied to simulate radar data for the Otemma glacier in Switzerland.
COMPUTERS & GEOSCIENCES
(2023)
Article
Construction & Building Technology
Bin Liu, Jiaqi Zhang, Ming Lei, Senlin Yang, Zhangfang Wang
Summary: The overall assessment of tunnel lining is crucial for the safe operation of tunnels. We proposed a method using a multi-task deep neural network and curve fitting post-processing operation to simultaneously identify the shapes, categories, and depths of tunnel defects as well as lining thicknesses from GPR images. The method was validated and effectively identified the shapes, classes, and thickness profiles of tunnel defects.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Geochemistry & Geophysics
Rong Hu, Jing Li, Li Guo
Summary: In this article, a time-lapse GPR data full-waveform inversion (FWI) method is proposed to effectively monitor the spatial distribution of small-scale fluid transport and estimate SWC with improved accuracy. The method combines velocity spectral analysis and the structural similarity index (SSIM) to construct a permittivity model and introduces gradient normalization to balance the convergence rate of the permittivity and conductivity parameters during the inversion process. The proposed method is validated using typical GPR field data, and the estimated error in SWC is found to be less than 5%. The time-lapse GPR data processing protocol provides a quantitative means for monitoring small-scale fluid infiltration.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Construction & Building Technology
Li Zeng, Xiaobing Zhang, Xiongyao Xie, Biao Zhou, Chen Xu, Sebastien Lambot
Summary: Ground-Penetrating Radar (GPR) is widely used for backfill grouting detections in shield tunnel construction. The proposed automatic annular thickness measurement approach based on GPR monitoring system and BBP-XGBoost algorithm has been proven to be an effective and efficient technique for detecting backfill grouting in shield tunnel construction. The advantages of this approach include high accuracy, high efficiency, and real-time output, providing guidance for the construction of shield tunnels.
AUTOMATION IN CONSTRUCTION
(2023)
Review
Forestry
Brunela Pollastrelli Rodrigues, Christopher Adam Senalik, Xi Wu, James Wacker
Summary: This paper is a review of studies on the use of ground penetrating radar (GPR) for wood structures, highlighting its advantages as an inspection tool and the gaps in knowledge for its practical application. Despite laboratory studies, the use of GPR on large wood structures remains limited. Key knowledge gaps include distinguishing internal feature types and identifying internal decay.
Article
Remote Sensing
Tess Luo, Song Zhu, Yiliminuer Yikeremu, Jiasong Zhu, John van Genderen
Summary: This study proposes a method for preliminary diagnosing large-scale culverts based on GPR wave attributes, which includes evaluating soil compactness, investigating soil moisture, and overlaying the results to pinpoint potential degradations. The method was validated through case studies on two long-distance culverts. The results indicate that this method can provide quick reference to improve GPR survey efficiency and reduce workload, facilitating large-scale GPR culvert surveys and safeguarding the water system.
GEO-SPATIAL INFORMATION SCIENCE
(2023)
Article
Geosciences, Multidisciplinary
Iraklis Giannakis, Feng Zhou, Craig Warren, Antonios Giannopoulos
Summary: This study investigated the shallow layers of lunar regolith at the Chang'E-4 landing site using lunar penetrating radar to identify four layers between 0 and 10 m. A revised stratigraphic model was suggested for the post-Imbrian ejecta at the Von Karman crater based on these findings. A novel hyperbola-fitting scheme was proposed to estimate permittivity profiles and detect previously unnoticed layered structures.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Construction & Building Technology
Fabio Tosti, Luca Bianchini Ciampoli, Fabrizio D'Amico, Amir M. Alani, Andrea Benedetto
CONSTRUCTION AND BUILDING MATERIALS
(2018)
Article
Materials Science, Characterization & Testing
Fabio Tosti, Luca Bianchini Ciampoli, Alessandro Calvi, Amir M. Alani, Andrea Benedetto
NDT & E INTERNATIONAL
(2018)
Article
Environmental Sciences
Amir M. Alani, Francesco Soldovieri, Ilaria Catapano, Iraklis Giannakis, Gianluca Gennarelli, Livia Lantini, Giovanni Ludeno, Fabio Tosti
Article
Materials Science, Characterization & Testing
Amir M. Alani, Fabio Tosti, Luca Bianchini Ciampoli, Valerio Gagliardi, Andrea Benedetto
NDT & E INTERNATIONAL
(2020)
Article
Environmental Sciences
Lilong Zou, Yan Wang, Iraklis Giannakis, Fabio Tosti, Amir M. Alani, Motoyuki Sato
Article
Environmental Sciences
Livia Lantini, Fabio Tosti, Iraklis Giannakis, Lilong Zou, Andrea Benedetto, Amir M. Alani
Article
Chemistry, Analytical
Valerio Gagliardi, Luca Bianchini Ciampoli, Sebastiano Trevisani, Fabrizio D'Amico, Amir M. Alani, Andrea Benedetto, Fabio Tosti
Summary: The research demonstrates the effectiveness of using Sentinel-1A SAR data for continuous and long-term monitoring of millimetre-scale displacements in airport runways, paving the way for more efficient and sustainable maintenance strategies to be included in next generation Airport Pavement Management Systems (APMSs).
Editorial Material
Chemistry, Analytical
Andrea Benedetto, Imad L. Al-Qadi, Amir M. Alani, Andreas Loizos, Fabio Tosti
Article
Environmental Sciences
Luca Bianchini Ciampoli, Valerio Gagliardi, Chiara Ferrante, Alessandro Calvi, Fabrizio D'Amico, Fabio Tosti
Article
Geosciences, Multidisciplinary
Luca Bianchini Ciampoli, Fabio Tosti, Nikos Economou, Francesco Benedetto
Proceedings Paper
Engineering, Electrical & Electronic
Fabio Tosti, Kevin Jagadissen Munisami, Anastasia Sofroniou, Amir M. Alani, Francesco Benedetto
2018 41ST INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP)
(2018)
Proceedings Paper
Engineering, Electrical & Electronic
Luca Bianchini Ciampoli, Salih Serkan Artagan, Fabio Tosti, Alessandro Calvi, Amir Morteza Alani, Andrea Benedetto
2018 41ST INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP)
(2018)
Article
Computer Science, Interdisciplinary Applications
Andrea Benedetto, Luca Bianchini Ciampoli, Maria Giulia Brancadoro, Amir M. Alani, Fabio Tosti
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2018)
Article
Construction & Building Technology
Andrea Benedetto, Fabio Tosti, Luca Bianchini Ciampoli, Alessandro Calvi, Maria Giulia Brancadoro, Amir M. Alani
CONSTRUCTION AND BUILDING MATERIALS
(2017)
Article
Construction & Building Technology
Qi Jiang, Wei Liu, Shaopeng Wu, Xuanwen Gou
Summary: This study analyzes the erosion mechanisms of NaCl solution on asphalt concrete and finds that NaCl solution softens asphalt and promotes the intrusion of crystalline salt into it. Salt crystallization alters the surface roughness of aggregates, resulting in a decrease in skid resistance but an improvement in compressive strength. Additionally, the concentration of NaCl solution initially has no significant impact on the mechanical performance of asphalt concrete, but its domination gradually increases with the intensification of cyclic effects.
CONSTRUCTION AND BUILDING MATERIALS
(2024)
Article
Construction & Building Technology
Lili Kan, Lan-qing Dai, Ning Kong, Bin Peng, Fei Wang
Summary: This paper investigates the effect of freezing and thawing cycles on the tensile behavior of cracked ultra-high performance concrete (UHPC). The results show that long-term freezing and thawing action deteriorates the cracking strength, tensile strength, tensile strain, and strain energy of cracked UHPC. On the other hand, the action of water generally favors the development of tensile properties of UHPC. The crack distribution tends to be unsaturated under freezing and thawing environment, and the re-hydration reaction is hindered. The pore structure near the crack varies under different environments.
CONSTRUCTION AND BUILDING MATERIALS
(2024)
Article
Construction & Building Technology
Xin Xiao, Jingwei Li, Qingke Meng, Xiangshan Hou, Yanhui Liu, Xujiang Wang, Wenlong Wang, Shengtao Lu, Yuzhong Li, Yanpeng Mao, Tong Li
Summary: Preparing gypsum-based self-leveling mortar (GSLM) using beta-hemihydrate gypsum and solid wastes-derived sulfoaluminate cement (WSAC) can improve the mechanical performance of the mortar, but phosphorus impurities can weaken the hydration speed and degree.
CONSTRUCTION AND BUILDING MATERIALS
(2024)
Article
Construction & Building Technology
Sihang Bao, Junzhen Di, Yanrong Dong, Ziqing Gao, Qing Gu, Yuanfang Zhao, Hongyu Zhai
Summary: Tailings dam break and leakage accidents pose a threat to the safety of people in mining areas and cause severe environmental pollution. This study focuses on solidifying tailing sand using microbial induced calcite precipitation (MICP) to improve strength and fix heavy metals. The curing time of MICP bio-cemented tailings is found to significantly impact the strength of tailings, while its effect on heavy metal fixation is minimal. The optimized MICP curing time is 10 days, resulting in improved strength and cementation of tailings particles.
CONSTRUCTION AND BUILDING MATERIALS
(2024)
Article
Construction & Building Technology
Ferhat Benmahiddine, Fares Bennai, Achraf Charaka, Ameur El Amine Hamami, Abdelkader Tahakourt, Rafik Belarbi
Summary: This paper studied the effects of hysteresis on the hygrothermal behavior at the building scale. Through laboratory validation and numerical simulations, it was found that hysteresis has a significant impact on the relative humidity and total heat fluxes in buildings, while it does not have a noticeable effect on temperature variations.
CONSTRUCTION AND BUILDING MATERIALS
(2024)
Article
Construction & Building Technology
You Gao, Wei He, Xiayang Zhang, De'an Sun, Pei Li
Summary: This study determined the boundary line between the swelling and compression deformation zone in lateritic clay through wetting tests, and proposed a simple bimodal SWRC model. It also found that the existing strength model underestimated the tested values in the medium to high suction range, therefore a segmented strength equation was introduced for enhanced predictions of the strength properties of lateritic clay.
CONSTRUCTION AND BUILDING MATERIALS
(2024)
Article
Construction & Building Technology
Prabhath Ranjan Kumar Soda, Asheer Mogal, Kalyan Chakravarthy, Nikhil Thota, Nimish Bandaru, Sanjay Kumar Shukla, K. M. Mini
Summary: This study investigates the use of encapsulated bacteria to improve the self-healing ability of concrete. Through various tests, it is found that using 20% cement-coated alginate beads (CCAB) and 5% nanosilica (NS) can achieve optimal strength and healing. This research is significant for enhancing the durability of concrete.
CONSTRUCTION AND BUILDING MATERIALS
(2024)
Article
Construction & Building Technology
Shizhe Wang, Haiping Wu, Wen Yang, Wei Wang, Zhibo Zhu, Kun Nie, Luoxin Wang, Hua Wang, Jing Wu
Summary: In this study, photothermal-heat storage concrete (PHSC) was developed with excellent photothermal conversion performance and heat storage capacity. By absorbing and storing solar energy during the day and releasing it at night, PHSC can effectively reduce energy consumption in buildings.
CONSTRUCTION AND BUILDING MATERIALS
(2024)
Article
Construction & Building Technology
Robin Deb, Jialuo He, Geetika Mishra, Yaghoob (Amir) Farnam
Summary: Incorporation techniques of phase change materials in cementitious composites have a significant influence on thermal properties. This study investigated the thermal behavior of low-temperature PCM when subjected to varying temperature change rates and pore confinement inside the porous network of lightweight aggregates. The results showed that ramp rates affect the nucleation and crystallization growth process during the phase transition, and the pore structure of the aggregates affects the supercooling phenomenon and confinement pressure of the PCM.
CONSTRUCTION AND BUILDING MATERIALS
(2024)
Article
Construction & Building Technology
Eduardo Ferreira, Payam Sotoudeh, Dagmar Svecova
Summary: This study investigates the fatigue behavior of concrete under different stress reversal conditions. The results indicate that stress reversal generally causes more severe damage and reduces the cycles to failure compared to tensile fatigue. Additionally, adding some level of compression contributes to the energy required for failure under stress reversal fatigue. Specimens with higher concentration of fractured aggregates achieve longer fatigue lives.
CONSTRUCTION AND BUILDING MATERIALS
(2024)
Article
Construction & Building Technology
Mag Raj Gehlot, Sandeep Shrivastava
Summary: This study evaluates the compatibility relationship between plaster bonds and the substrate under an accelerated aging environment, and finds that incorporating an appropriate amount of granite cutting waste can improve the strength parameters and adhesion of the cement mortar.
CONSTRUCTION AND BUILDING MATERIALS
(2024)
Article
Construction & Building Technology
Min Zhang, Qirui Luo, Mingke Deng, Shixing Zhao
Summary: This study investigated the bond behavior between carbon FRCM composites with added short fibers and concrete substrates. The effects of different factors were considered and 36 specimens were tested and discussed. The experimental results were analyzed in terms of failure mode, load-slip curve, and characteristic parameters, and the contribution of weft yarns was taken into account in the developed bondslip model.
CONSTRUCTION AND BUILDING MATERIALS
(2024)
Article
Construction & Building Technology
Dengkai Liu, Hongniao Chen, Ray Kai Leung Su
Summary: The susceptibility of building stones to fire and high temperature was investigated in this study by examining their physical and mechanical properties. The results show that both compressive and tensile properties of stones are affected by temperature changes. The tensile strength is particularly sensitive to temperature changes, requiring special attention to the components subjected to tensile stress in stone buildings. Principal component analysis was used to predict the mechanical properties of stones, providing a new method for calculating the residual mechanical properties after high temperature or fire.
CONSTRUCTION AND BUILDING MATERIALS
(2024)
Article
Construction & Building Technology
Joso Maria Raposo, Eduardo Cavaco, Luis Costa Neves, Eduardo Julio
Summary: This paper investigates the correlation between the friction coefficient and the surface roughness of concrete-to-concrete interfaces. Experimental tests were performed on specimens with different surface treatments, and the surface roughness parameters were analyzed and correlated with the shear strength and friction coefficient. The results showed that certain roughness parameters had a strong positive correlation with the friction coefficient, while others had little or no correlation. A novel combined roughness parameter with optimized correlation was proposed.
CONSTRUCTION AND BUILDING MATERIALS
(2024)
Article
Construction & Building Technology
Chiara Riccardi, Massimo Losa
Summary: The interest in using bio materials in asphalt pavements is growing due to economic reasons and environmental benefits. This study aimed to review the use of bio extenders as additives in binders, with a focus on replacements greater than 20% of fossil binder. The properties of bio-extended binders were found to vary substantially depending on the biomass source and production process.
CONSTRUCTION AND BUILDING MATERIALS
(2024)
