A5100432815- Infrastructure Maintenance and Monitoring
- Concrete Corrosion and Durability
- Structural Behavior of Reinforced Concrete
- Corrosion Behavior and Inhibition
- Asphalt Pavement Performance Evaluation
- Structural Load-Bearing Analysis
- Concrete and Cement Materials Research
- Structural Engineering and Vibration Analysis
- Smart Materials for Construction
- Environmental Chemistry and Analysis
- Non-Destructive Testing Techniques
- Fire effects on concrete materials
- Structural Health Monitoring Techniques
- Innovative concrete reinforcement materials
- Traffic control and management
- Marine Biology and Environmental Chemistry
- Concrete Properties and Behavior
- Aluminum Alloys Composites Properties
- Rock Mechanics and Modeling
- Ultrasonics and Acoustic Wave Propagation
- 3D Surveying and Cultural Heritage
- Vehicle Dynamics and Control Systems
- Railway Engineering and Dynamics
- Nuclear materials and radiation effects
- Recycling and utilization of industrial and municipal waste in materials production
Shenzhen University
2023-2025
Xi'an University of Architecture and Technology
2023
Southeast University
2023
Tongji University
2021-2023
Chongqing University
2023
Waseda University
2019-2021
China State Shipbuilding (China)
2021
Corrosion-induced crack width can provide effective information on the deterioration level of in situ corroded reinforced concrete (RC) structures. However, uncertainty associated with relationship between corrosion-induced and steel corrosion RC structures is quite large. In this study, a probabilistic framework for estimating structural capacity using observational distribution machine learning proposed. Based experimental results beams, random field theory, finite element (FE) analysis,...
This article presents a novel system reliability-based framework for multi-objective optimisation of preventive maintenance (PM) management in-service asphalt pavement. To accurately predict the international roughness index (IRI) sequence pavement sections, long short-term memory (LSTM) neural network that considers spatiotemporal correlations between IRI sequences is trained with data retrieved from long-term performance (LTPP) program. Based on time-dependent limit-state functions (LSFs)...
The vehicle distribution scenarios on the bridge deck of long-span cable-stayed bridges leading to extreme responses are critical for ensuring structural safety. Meanwhile, increase span length significantly impacts performance under traffic actions. However, most load models in existing codes predominantly developed small and medium-span bridges. Recently site-specific flow often ignore characteristics response scenarios. This study examines five in-service covering a range lengths from 200...
Here, we report a differential ring array of piezoelectric micromachined ultrasonic transducers (pMUTs) for ultralong-range detection. Among them, the structure is used to improve sensitivity device, and generated sound intensity. The synergy between improves acoustic performance pMUTs. material adopts aluminum nitride (AlN) thin film compatible with complementary metal–oxide–semiconductor (CMOS) process. resonant frequency device (80 kHz), radius ( <inline-formula...
It is widely recognized that reliability-based optimization methodologies are rational and promising tools to perform the life-cycle management (LCM) of civil engineering structures. In order realize optimal design maintenance asphalt pavement, a comprehensive methodology considering cost (LCC) proposed in this paper. Considering powerful ability Artificial Neural Networks (ANNs) solve complex nonlinear problems, ANNs implemented predict performance pavement based on training data (i.e....
This paper aims to extend a previously developed probabilistic model for simulating extreme response scenarios include congested traffic flow on long-span bridges, addressing the challenge of accurately modeling loads under changing conditions. While was initially designed free-flow traffic, this study demonstrates how it can be adapted conditions, with objective improving accuracy load models. To overcome limitation traditional Weigh-in-Motion (WIM) systems in capturing characteristics were...
The corrosion of rebars in concrete has been regarded as one the most predominant factors for degradation reinforced (RC) structures. accurate predictions damages are basis safety assessment in-service RC structures and enhancement new structure designs. X-ray computed tomography (XCT), known its non-destructive capabilities, widely utilized to understand process inside concrete, offering three-dimensional (3D) visualization aiding identification parameters predictive model steel corrosion....
The corrosion of rebars in concrete has been regarded as one the most predominant factors for degradation reinforced (RC) structures. accurate predictions damages are basis safety assessment in-service RC structures and enhancement new structure designs. X-ray computed tomography (XCT), known its non-destructive capabilities, widely utilized to understand process inside concrete, offering three-dimensional (3D) visualization aiding identification parameters predictive model steel corrosion....
The effect of tetrasodium 1-hydroxy ethylidene-1, 1-diphosphonic acid (HEDP·4Na) on the microstructure and phase characterization alkali-activated fly ash–slag (AAFS) materials is not clear or well documented. In this study, XRD, DTG, TAM-air, SEM analyses AAFS were used to identify microstructural changes in made with HEDP·4Na. Meanwhile, workability compressive strength evaluated. results demonstrated that early-age alkaline-activated reactions retarded due addition HEDP·4Na mixture....
Due to the attack of harmful environmental substances, reinforcements in concrete can be corroded. The corrosion induces crack and reduction structural capacity. complex durability deterioration at material scale is commonly oversimplified analysis, influence reinforcement distribution hardly evaluated traditional methods. Benefitted from accurate model efficient solution technologies, a life-cycle probabilistic evaluation method proposed based on uncertainty influence. computational...
Traditionally, temperature control for massive concrete structures during the construction phase is based on experience instead of using advanced methods such as predictive method. In this paper, a method with hybrid data-based artificial neural network (ANN) model proposed. The main parameters numerical are identified data measured from site. Since limitation data, rich dataset generated by parameters. Finally, ANN predicting indicator developed. A case study in which real bridge anchorage...
Uncertainties in traffic flows pose significant challenges for the accurate fatigue safety assessment of bridge structures. Fatigue analysis requires detailed information on heavy vehicle-induced loads, which can be obtained from weigh-in-motion (WIM) systems. This paper develops a stochastic load model based site-specific WIM measurements to evaluate reliability steel bridges by enhancing simulation efficiency and incorporating correlations parameters. Traffic loading is measured site...
This study presents a probability-based surface deterioration evaluation framework to evaluate the cracking damage of bridge pylons subjected repetitive thermal stresses caused by daily temperature variations. First, prediction model for massive concrete members was utilized, incorporating effects convection and radiation. Subsequently, loads applied pylon were computed using finite element (FE) method. A modified linear elastic fracture mechanics (LEFM) crack combined with random field...