Periodic Noise Characteristics and Acoustic Control in Long Highway Tunnels: An FEM Study with In Situ Validation Ruifeng Ding, Xingyu Gu, Chenlin Liao, Hongchang Wang, Zengbin Xu, Kaiwen Lei, Jiwang Jiang Materials, 2026 Noise in long highway tunnels and underground interchanges poses a significant environmental concern, affecting both drivers and nearby residents. This research develops an acoustic finite element model of a long tunnel in Leuven Measurement Systems (LMS) Virtual Lab to characterize the tunnel noise field, and the effectiveness of different noise mitigation measures was also evaluated and optimized accordingly. The model is validated against in situ monitoring data, with deviations controlled within 3 dB(A) and strong agreement confirmed by the Kappa consistency test. Both simulations and measurements show that sound pressure levels (SPLs) are generally highest near the tunnel center and lower toward the portal, exhibiting periodic fluctuations rather than a monotonic decrease. The dominant noise energy is concentrated between 125 Hz and 500 Hz. SPLs at 1.8 m above the road surface are noticeably higher than at 1.2 m and 1.5 m, indicating greater noise exposure for drivers of large vehicles compared with smaller vehicles. Noise reduction performance is further assessed for different lining materials and pavement types. Installing sound-absorbing panels in the tunnel midsection provides effective attenuation, with expanded perlite panels, single-layer metal micro-perforated panels, and FC quiet perforated panels (FC-PP) performing best, while porous asphalt shows superior noise reduction compared with conventional dense-graded asphalt pavements.
Determining Optimal Dosage of High-Modulus Asphalt Binders Through Comprehensive Rheological Assessment Across Full Temperature Range Yijun Wang, Bolan Ye, Qisheng Wang, Qifeng Bai, Jiwang Jiang Materials, 2026 High-modulus asphalt binders are increasingly used to improve rutting resistance and enable pavement thickness reduction. Conventional binder indices do not always capture the stress-dependent response of high-modulus systems under heavy loading, and quantitative rules for selecting a high-modulus additive dosage are still limited. This study develops a full-temperature-range evaluation and dosage determination framework for high-modulus additive-modified asphalt binders (HMABs) produced on an SBS-modified base binder. Four binders were prepared with high-modulus additive dosages of 0%, 17%, 22% and 28% with a binder mass basis. High-temperature performance was evaluated by PG grading and an enhanced MSCR protocol that included 0.1, 3.2, 6.4 and 12.8 kPa. MSCR temperatures were selected based on PG results. Intermediate-temperature performance was evaluated using LAS at 25 °C with VECD-based fatigue analysis on RTFO + PAV-aged binders. Low-temperature cracking was evaluated using ABCD on PAV-aged binders at −36 °C. The results show that the high-temperature PG increased with dosage, but the 22% and 28% binders fell into the same grade, indicating limited dosage discrimination by the PG test. The enhanced MSCR test captured clearer dosage differences under higher stresses. Non-recoverable compliance decreased markedly with dosage, and stress sensitivity showed an overall decreasing trend; 6.4 kPa provided higher dosage sensitivity and lower variability than 3.2 kPa. LAS test shows a non-monotonic fatigue response in which peak shear stress and predicted fatigue life increased up to 22% and then declined at 28%. At 2.5% and 5% strain, the 22% binder increased predicted fatigue life by about 273% and 83% relative to the base binder, while at 10% strain, it was about 11% lower. ABCD results show an upward shift in critical cracking temperature and a clear reduction in fracture stress at high dosages, indicating increasing low-temperature fracture risk. Therefore, high-modulus additives markedly improve high-temperature stability but introduce full-temperature trade-offs. The proposed full-temperature-range examined framework improves performance discrimination and supports dosage selection. A target dosage of 22% is recommended, and 17~22% is suggested as an engineering-controllable range for a balanced full-temperature performance, while 28% should be treated as an upper-bound option, primarily for warm regions where rutting dominates.
Assessing Pavement Conditions Impact on Traffic Crashes: An Interpretable Machine-Learning Approach to Identify Crash Risk Factors and Performance Thresholds Linyi Yao, Zhen Leng, Jiwang Jiang, Junqiu Zheng, Fujian Ni Journal of Transportation Engineering Part B Pavements, 2025 Pavement surface condition may have a significant impact on traffic accidents, but its influencing mechanisms remain unclear, and safety-oriented maintenance thresholds are still lacking. To addresses these gaps, this study develops a highway crash regression model by comparing generalized linear models with tree-based machine learning (ML) approaches to establish the relationship between various factors and crash counts. An interpretability algorithm is employed to examine the combined effects of pavement, traffic, and meteorological conditions, with a particular focus on pavement-related factors. Minimum pavement performance requirements for safety considerations under varying traffic levels are then established, providing guidance for safety-oriented maintenance decision-making. Results reveal that annual average daily traffic (AADT) has the greatest impact, with higher traffic volumes correlating with increased crash counts. Additional risk factors include a higher proportion of trucks, bridge presence, frequent rainfall, and road ages exceeding ten years. Poor skid resistance, excessive roughness, and deep rutting detrimentally affect safety, particularly under high traffic volumes, whereas transverse cracks may reduce crashes by promoting heightened driver caution. For high-AADT roadways (≥30,000), this study identifies minimum performance thresholds of 40 for the side-way force coefficient (SFC), 2 m/km for the international roughness index (IRI), and 10 mm for the rutting depth (RD), whereas lower AADT levels do not necessitate specific requirements. These findings enhance the understanding of pavement-related crash risks and provide actionable insights for developing safety-oriented maintenance planning.
Study on mortar thickness spectrum of asphalt mixture based on two-dimensional image processing method Chang an Daxue Xuebao Ziran Kexue Ban Journal of Chang an University Natural Science Edition, 2019
Periodic Noise Characteristics and Acoustic Control in Long Highway Tunnels: An FEM Study with In Situ Validation R Ding, X Gu, C Liao, H Wang, Z Xu, K Lei, J Jiang Materials 19 (8), 1548 , 2026 2026
Determining Optimal Dosage of High-Modulus Asphalt Binders Through Comprehensive Rheological Assessment Across Full Temperature Range Y Wang, B Ye, Q Wang, Q Bai, J Jiang Materials 19 (6), 1155 , 2026 2026
Mechanistic assessment of cracking resistance degradation in asphalt mixtures subjected to long-duration low-temperature conditioning J Wang, J Jiang, L Qin, X Niu, C Zhuang, D Xu, F Ni, X Ma Construction and Building Materials 512, 145380 , 2026 2026
The influence of key design factors on voids characterisation and the balance between permeability and strength performance of porous asphalt concrete X Ma, B Wu, J Xu, J Jiang, F Huang, X Wang Construction and Building Materials 510, 145085 , 2026 2026 Citations: 1
Bio-derived graphitized carbon pathway engineering enables smart asphalt concrete from microstructural mechanisms to macroscopic sensing and sustainability D Zhao, Z Li, J Jiang, Y Fu, X Gu, J Liu Construction and Building Materials 506, 144860 , 2026 2026 Citations: 1
Adsorption-state test guided enhancement of asphalt emulsion–aggregate interface: From microscopic defects to macroscopic strengthening T Liu, J Jiang, G Lu, J Ding, F Ni Construction and Building Materials 506, 144909 , 2026 2026 Citations: 7
Assessing Pavement Conditions Impact on Traffic Crashes: An Interpretable Machine-Learning Approach to Identify Crash Risk Factors and Performance Thresholds L Yao, Z Leng, J Jiang, J Zheng, F Ni Journal of Transportation Engineering, Part B: Pavements 151 (4), 04025049 , 2025 2025 Citations: 2
Flow number vs. multi-sequenced repeated loading tests: A comparative analysis for high-temperature stability evaluation of in-service asphalt pavements D Xu, Z Zhang, L Shu, J Wang, J Jiang, F Ni, X Ma Construction and Building Materials 497, 143907 , 2025 2025
Investigation of thermal cracking resistance in modified asphalt with plasticizers: Rheological and micromechanical insights J Wang, J Jiang, G Wang, X Niu, L Wang, Y Jin, Z Ma, Q Dong, F Ni Construction and Building Materials 497, 143894 , 2025 2025 Citations: 1
Balancing workability and removability of road markings with microwave-absorbed bitumen emulsion: Performance optimization and field validation T Liu, J Jiang, C Gong, Y Han, X Gu, F Ni Construction and Building Materials 491, 142668 , 2025 2025 Citations: 12
Three-dimensional cracking path morphology of asphalt pavements with semi-rigid bases after 15+ years of service: X-ray CT scanning and image processing D Xu, J Jiang, J Ding, J Wang, S Yu, F Ni Measurement, 118938 , 2025 2025 Citations: 1
Investigation of the top-down cracking propagation behavior of flexible asphalt pavement based on numerical modeling and full-scale accelerated pavement tests L Gao, Y Yang, J Jiang, Y Zhou, H Kong Journal of Transportation Engineering, Part B: Pavements 151 (3), 04025026 , 2025 2025 Citations: 2
Interfacial adhesion and wetting of asphalt emulsion on hydrophobic-oleophilic modified aggregates: characterization and enhanced performance T Liu, J Jiang, C Gong, J Wang, Y Huang, X Gu, F Ni Surfaces and Interfaces, 107566 , 2025 2025 Citations: 6
Compaction optimization of surfactant-tailored basalt-fiber WMA by improved lubrication and micro-structure formation C Gong, J Jiang, T Liu, R Zhang, D Xu Construction and Building Materials 484, 141905 , 2025 2025 Citations: 2
Structural condition assessment of asphalt pavement semi-Rigid bases using FWD deflection basin parameters L Yao, J Jiang, C Li, Z Leng, F Ni Road Materials and Pavement Design 26 (7), 1828-1842 , 2025 2025 Citations: 2
Thermal Field and High-Temperature Performance of Epoxy Resin System Steel Bridge Deck Pavement R Mao, X Gu, J Jiang, Z Zhang, K Lei Materials 18 (13), 3109 , 2025 2025 Citations: 2
Performance characterization and relationship modeling of in-situ asphalt mortar and mixture using data mining L Shu, Q Dong, F Ni, J Jiang, S Yu, B Shi Case Studies in Construction Materials 22, e04739 , 2025 2025
Investigation of the homogeneity of aggregate contact characteristics and thickness distribution of mortar in hot recycled asphalt mixtures C Gong, J Jiang, T Liu, Z Zhou Construction and Building Materials 478, 141448 , 2025 2025 Citations: 6
Short-and long-term mechanical performances of damaged porous asphalt mixture treated with asphalt emulsion B Yang, Z Leng, J Jiang, R Li, M Han Road Materials and Pavement Design 26 (3), 523-535 , 2025 2025 Citations: 4
Uncertainty Quantification for Predicting Low-Temperature Crack Resistance of Asphalt Mixture Base on Bayesian Neural Network Z Song, F Ni, J Huang, J Jiang 2024 International Conference on Smart Transportation Interdisciplinary Studies , 2025 2025
MOST CITED SCHOLAR PUBLICATIONS
New innovations in pavement materials and engineering: A review on pavement engineering research 2021 JE Office, J Chen, H Dan, Y Ding, Y Gao, M Guo, S Guo, B Han, B Hong, ... Journal of traffic and transportation engineering (English edition) 8 (6 … , 2021 2021 Citations: 209
Deep reinforcement learning for long‐term pavement maintenance planning L Yao, Q Dong, J Jiang, F Ni Computer‐Aided Civil and Infrastructure Engineering 35 (11), 1230-1245 , 2020 2020 Citations: 200
Environmental and economic assessment of collective recycling waste plastic and reclaimed asphalt pavement into pavement construction: A case study in Hong Kong L Yao, Z Leng, J Lan, R Chen, J Jiang Journal of Cleaner Production 336, 130405 , 2022 2022 Citations: 177
Characterization of interconnectivity, size distribution and uniformity of air voids in porous asphalt concrete using X-ray CT scanning images Y Zhao, X Wang, J Jiang, L Zhou Construction and Building Materials 213, 182-193 , 2019 2019 Citations: 127
Flexural behavior investigation of steel-GFRP hybrid-reinforced concrete beams based on experimental and numerical methods G Xingyu, D Yiqing, J Jiwang Engineering Structures 206, 110117 , 2020 2020 Citations: 112
Establishment of prediction models of asphalt pavement performance based on a novel data calibration method and neural network L Yao, Q Dong, J Jiang, F Ni Transportation Research Record 2673 (1), 66-82 , 2019 2019 Citations: 98
Effect of the contact structure characteristics on rutting performance in asphalt mixtures using 2D imaging analysis J Jiang, F Ni, L Gao, L Yao Construction and Building Materials 136, 426-435 , 2017 2017 Citations: 95
Asphalt pavement density measurement using non-destructive testing methods: Current practices, challenges, and future vision S Wang, X Sui, Z Leng, J Jiang, G Lu Construction and building materials 344, 128154 , 2022 2022 Citations: 94
Characterization and identification of asphalt mixtures based on Convolutional Neural Network methods using X-ray scanning images J Jiang, Z Zhang, Q Dong, F Ni Construction and Building Materials 174, 72-80 , 2018 2018 Citations: 84
Blending efficiency of reclaimed asphalt rubber pavement mixture and its correlation with cracking resistance D Li, Z Leng, S Zhang, J Jiang, H Yu, F Wellner, S Leischner Resources, Conservation and Recycling 185, 106506 , 2022 2022 Citations: 81
Improving the high-temperature performance of cold recycled mixtures by polymer-modified asphalt emulsion J Jiang, F Ni, J Zheng, Y Han, X Zhao International Journal of Pavement Engineering 21 (1), 41-48 , 2020 2020 Citations: 79
Investigation of the internal structure change of two-layer asphalt mixtures during the wheel tracking test based on 2D image analysis J Jiang, F Ni, Q Dong, L Yao, X Ma Construction and Building Materials 209, 66-76 , 2019 2019 Citations: 75
Evaluation of the healing potential of asphalt mixtures based on a modified semi-circular bending test J Jiang, F Ni, F Wu, H Sadek, Q Lv Construction and Building Materials 196, 284-294 , 2019 2019 Citations: 75
Fatigue damage model of stone matrix asphalt with polymer modified binder based on tensile strain evolution and residual strength degradation using digital image correlation … J Jiang, F Ni, Q Dong, Y Zhao, K Xu Measurement 123, 30-38 , 2018 2018 Citations: 75
Modelling of pavement performance evolution considering uncertainty and interpretability: a machine learning based framework L Yao, Z Leng, J Jiang, F Ni International Journal of Pavement Engineering 23 (14), 5211-5226 , 2022 2022 Citations: 72
Research on the fatigue equation of asphalt mixtures based on actual stress ratio using semi-circular bending test J Jiang, F Ni, Q Dong, F Wu, Y Dai Construction and Building Materials 158, 996-1002 , 2018 2018 Citations: 71
Evaluation of aggregate packing based on thickness distribution of asphalt binder, mastic and mortar within asphalt mixtures using multiscale methods J Jiang, F Ni, X Gu, L Yao, Q Dong Construction and Building Materials 222, 717-730 , 2019 2019 Citations: 63
Fatigue cracking performance evaluation of laboratory-produced polymer modified asphalt mixture containing reclaimed asphalt pavement material Z Zhou, X Gu, J Jiang, F Ni, Y Jiang Construction and Building Materials 216, 379-389 , 2019 2019 Citations: 61
Distribution of mortar film thickness and its relationship to mixture cracking resistance J Jiang, Y Li, Y Zhang, HU Bahia International Journal of Pavement Engineering 23 (3), 824-833 , 2022 2022 Citations: 58
Experimental analysis of skeleton strength of porous asphalt mixtures X Wang, X Gu, J Jiang, H Deng Construction and Building Materials 171, 13-21 , 2018 2018 Citations: 56
