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Electrical and mechanical properties of asphalt concrete containing conductive fibers and fillers

Wang, H. (author), Yang, Jun (author), Liao, Hui (author), Chen, Xianhua (author)

Electrically conductive asphalt concrete has the potential to satisfy multifunctional applications. Designing such asphalt concrete needs to balance the electrical and mechanical performance of asphalt concrete. The objective of this study is to design electrically conductive asphalt concrete without compromising on the mechanical properties...

journal article 2016

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Analysis of the interaction between moving α/γ interfaces and interphase precipitated carbides during cyclic phase transformations in a Nb-containing Fe-C-Mn alloy

Dong, Haokai (author), Chen, Hao (author), Wang, Wei (author), Zhang, Yongjie (author), Miyamoto, Goro (author), Furuhara, Tadashi (author), Zhang, Chi (author), Yang, Zhigang (author), van der Zwaag, S. (author)

The interaction between moving α/γ interfaces and interphase precipitated (IPd) carbides during the austenite (γ) to ferrite (α) and the ferrite (α) to austenite (γ) transformation has been systematically investigated through cyclic phase transformation experiments for a 0.1C-1.5Mn alloy containing 0.1 wt% Niobium (Nb) and its Nb-free...

journal article 2018

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Germanene on single-layer ZnSe substrate: Novel electronic and optical properties

Ye, H. (author), Hu, F.F. (author), Tang, H. (author), Yang, L.W. (author), Chen, X.P. (author), Wang, L.G. (author), Zhang, Kouchi (author)

In this work, the structural, electronic and optical properties of germanene and ZnSe substrate nanocomposites have been investigated using first-principles calculations. We found that the large direct-gap ZnSe semiconductors and zero-gap germanene form a typical orbital hybridization heterostructure with a strong binding energy, which shows...

journal article 2018

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Promoting sensitivity and selectivity of HCHO sensor based on strained InP₃ monolayer: A DFT study

Yang, Huiru (author), Wang, Zeping (author), Ye, H. (author), Zhang, Kai (author), Chen, X. (author), Zhang, Kouchi (author)

Sensitive materials for formaldehyde (HCHO) sensor need high sensitivity and selectivity. The research on two dimensional (2D) sensitive material is growing, and most studies focus on the pristine or modified graphene. So it is essential to introduce other 2D materials into HCHO gas sensor. In this report, the adsorption behaviors of organic...

journal article 2018

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Stability Evaluation of Concrete Structure Considering the Local Damage Using Nondestructive Detection and Numerical Analysis

Tan, Xuyan (author), Chen, Weizhong (author), Wang, L. (author), Yang, Jianping (author)

Shield tunneling is one of the most important technologies for building of underground engineering. Many grouting holes were prefabricated for the requirement of backfill grouting, which is easy to induce local damages and potential disasters, such as leakage and cracking. Accordingly, an integrated workflow for damage detection and stability...

journal article 2020

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Analysis of local damages effect on mechanical responses of underwater shield tunnel via field testing and numerical simulation

Tan, Xuyan (author), Chen, Weizhong (author), Wang, L. (author), Yang, Jianping (author)

The investigation of concrete structural performance is crucial to maintain the stability of infrastructure. In order to assess structural stability, this work focuses on the development of an integrated framework to detect damaged conditions in the field and analyze their effect on mechanical performance through nondestructive testing (NDT)...

journal article 2020

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Maritime broadband communication: Wireless channel measurement and characteristic analysis for offshore waters

Li, Changzhen (author), Yu, Junyi (author), Xue, J. (author), Chen, Wei (author), Wang, Shoufeng (author), Yang, Kun (author)

For a long time, the development of maritime communication has been restricted by the low data rate, high-latency and high cost of the current communication systems. The upgrade of new generation mobile communication technologies is attracting more and more attention to conduct a shore-based broadband mobile communication network with high...

journal article 2021

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First-Principles Study on the Elastic Mechanical Properties and Anisotropies of Gold–Copper Intermetallic Compounds

Wang, Jian (author), Qin, Hongbo (author), Chen, Junfu (author), Yang, Daoguo (author), Zhang, Kouchi (author)

In this study, first-principles calculations were utilized to investigate the lattice constants, elastic constants, and mechanical properties of gold–copper (Au–Cu) intermetallic compounds (IMCs), including AuCu3, AuCu, and Au3Cu. We also verified the direction dependence of the Young’s modulus, shear modulus, and Poisson’s ratio of the...

journal article 2022

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Platform Development of BIM-Based Fire Safety Management System Considering the Construction Site

Yang, Yapin (author), Sun, Ying (author), Chen, Mingsi (author), Zhou, Yuekuan (author), Wang, Ran (author), Liu, Zhengxuan (author)

Fire at a construction site usually results in serious accidents. Therefore, fire management at the construction site is critical to decreasing possible accidents. However, conventional fire safety management can be problematic in many aspects, such as visualization, multi-stage alarm systems, and dynamic escape route optimization. To solve...

journal article 2022

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Federated Learning With Heterogeneity-Aware Probabilistic Synchronous Parallel on Edge

Zhao, Jianxin (author), Han, Rui (author), Yang, Yongkai (author), Catterall, Benjamin (author), Liu, Chi Harold (author), Chen, Lydia Y. (author), Mortier, Richard (author), Crowcroft, Jon (author), Wang, Liang (author)

With the massive amount of data generated from mobile devices and the increase of computing power of edge devices, the paradigm of Federated Learning has attracted great momentum. In federated learning, distributed and heterogeneous nodes collaborate to learn model parameters. However, while providing benefits such as privacy by design and...

journal article 2022

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A Bienzymatic Cascade for the Complete Hydrolysis of Phthalic Acid Esters

Yang, Liu (author), Ma, Yunjian (author), Chen, Yebao (author), Hollmann, F. (author), Wang, Yonghua (author)

Phthalic acid esters (PAEs) are widely used as plastic additives to increase the flexibility and durability of plastics. Constantly leaching out from plastics, PAEs are ubiquitously found in the environment. As PAEs exhibit biological activities such as being endocrine disruptive, the quest for efficient degradation strategies continues. Here...

journal article 2022

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Fabrication of a Nanosize Hematite Pigment via Waste Ferrous Sulfate Recycling Using Sulfur Reduction

Wang, Ye (author), Ren, Genkuan (author), Jiang, Bing (author), Yang, Lin (author), Zhang, Zhiye (author), Wang, Xinlong (author), Zhong, Yanjun (author), Chen, Z. (author), Yang, Xiushan (author), Morita, Kazuki (author), Ma, Wenhui (author)

Nanometer-sized hematite was prepared via a two-step process. In the first step, FeSO₄·7H₂O was oxidized to Fe₂(SO₄)₃ by oxygen in an acidic solution. In the second step, the Fe₂(SO₄)₃ was reduced to nanosize hematite with sulfur vapor at 550 °C. The...

journal article 2022

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Analysis of Injury Severity of Drivers Involved Different Types of Two-Vehicle Crashes Using Random-Parameters Logit Models with Heterogeneity in Means and Variances

Wu, Qiang (author), Song, Dongdong (author), Wang, Chenzhu (author), Chen, Fei (author), Cheng, Jianchuan (author), Easa, Said M. (author), Yang, Y. (author), Yang, Wenchen (author)

This study proposes random-parameters multinomial logit models, with heterogeneity in means and variances, to explore the differences in the factors influencing injury severities of drivers involved in different types of two-vehicle crashes. The models are verified using crash data from the United Kingdom (UK) over three years (2016–2018). Three...

journal article 2023

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Effects of GBFS content and curing methods on the working performance and microstructure of ternary geopolymers based on high-content steel slag

Yang, Xinkui (author), Wu, Shaopeng (author), Xu, S. (author), Chen, B. (author), Chen, Dongyu (author), Wang, Fusong (author), Jiang, Jian (author), Fan, Lulu (author), Tu, Liangliang (author)

Aimed to address the low utilization rate of steel slag (SS) and its challenge in resource utilization in China, this study developed ternary geopolymers made by high-content (50%) SS together with fly ash (FA) and granulated blast furnace slag (GBFS). The effects of GBFS content (0–40%) and curing methods (water curing, standard curing,...

journal article 2023

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A bio-inspired and switchable H⁺/OH⁻ ion-channel for room temperature exhaled CO₂ chemiresistive sensing

Chen, Honghao (author), Lu, Ruofei (author), Gao, Yixun (author), Yue, Xiaorui (author), Yang, Haihong (author), Li, Hao (author), Lee, Yi Kuen (author), French, P.J. (author), Wang, Yao (author), Zhou, Guofu (author)

Inspired by the CO₂-induced reversible activation mechanism of the slow anion channel 1 (SLAC1) in plant stomatal guard cells during plant photosynthesis, we designed and prepared a CO₂- switchable H⁺/OH⁻ ion channel (CSPH ion channel). A high-performance chemiresistive room temperature CO<sub>2<...

journal article 2023

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Estimating intercity heavy truck mobility flows using the deep gravity framework

Yang, Y. (author), Jia, Bin (author), Yan, Xiao Yong (author), Chen, Yan (author), Song, Dongdong (author), Zhi, Danyue (author), Wang, Y. (author), Gao, Ziyou (author)

Accurate estimation of intercity heavy truck mobility flows is of vital importance to urban planning, transportation management and logistics operations. The inaccessibility of big data related to intercity transport systems and the heterogeneity of trucking activities pose challenges for the reliable estimation. Recently, the advance of...

journal article 2023

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The Covariation of Color and Orange Fluorescence Instabilities in Yellow Sapphires

Yang, Yunqi (author), Wang, C. (author), Wang, Chengsi (author), Shen, Xibing (author), Yin, Ke (author), Chen, Tao (author), Shen, Andy Hsitien (author), Algeo, Thomas J. (author), Hong, Hanlie (author)

In recent years, some sapphires were found to fade in sunlight and to increase their color after UV irradiation. This unstable color phenomenon is attributed to the photochromism of corundum. The photochromic effect seriously affects the grading and evaluation of sapphires, although its mechanism is still uncertain. Here, we performed a set...

journal article 2023

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Effect of epoxy resin addition on properties and corrosion behavior of sintered joints in power modules serviced offshore

Wang, Xinyue (author), Yang, Zhoudong (author), Wang, Boya (author), Chen, Wei (author), Zhang, Kouchi (author), Zhang, Jing (author), Fan, J. (author), Liu, P. (author)

Power modules applied in offshore applications are facing risks of corrosion failures on die-attach materials due to high humidity and H₂S exposure. To investigate such corrosion behavior for sintered die-attach materials, we conducted a study with four groups of samples fabricated using copper and silver metal particles under...

journal article 2023

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Rapid extraction of pavement aggregate gradation based on point clouds using deep learning networks

Chen, Siyu (author), Chen, Can (author), Ma, Tao (author), Han, Chengjia (author), Luo, Haoyuan (author), Wang, Siqi (author), Gao, Y. (author), Yang, Yaowen (author)

Usage of asphalt mixture with poor gradation will most likely lead to pavement deficiency. There is a growing need for rapid and non-destructive methods to extract pavement aggregate gradation. In this study, a deep learning-based method that utilizes point clouds data for gradation extraction was proposed. Firstly, a data enhancement...

journal article 2023

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基于注意力机制的城市轨道交通网络级多步短时客流时空综合预测模型

Zhang, Jinlei (author), Chen, Yijie (author), Krishnakumari, P.K. (author), Jin, Guangyin (author), Wang, Chengcheng (author), Yang, Lixing (author)

Accurate and reliable short- term passenger flow prediction can support operations and decision-making of the URT system from multiple perspectives. In this paper, we propose a URT multi- step short- term passenger flow prediction model at the network level based on a Transformer-based LSTM network, Depth-wise Attention Block, and CNN network...

journal article 2023