Article
Construction & Building Technology
Sanpeng Mao, Shangheng Zeng, Zeyu Li, Xiaobin Han, Jianying Yu
Summary: In this study, solvent-free bentonite fluid was prepared through organically treating bentonite, and its effects on the performance of modified bitumen were investigated. The results showed that the solvent-free bentonite fluid could enhance the high-temperature stability of the modified bitumen, while having minimal effects on the low-temperature properties. It could also inhibit the aging of bitumen.
CASE STUDIES IN CONSTRUCTION MATERIALS
(2023)
Article
Construction & Building Technology
Baha Vural Kok, Bekir Irhan, Mehmet Yilmaz, Erkut Yalcin
Summary: The use of waste materials in bitumen modification has become crucial in protecting natural resources, reducing environmental pollution, and increasing efficiency. Photopolymer (PhP) obtained from waste solid sheet plates was found to be a suitable material for bitumen modification, offering superior properties compared to pure binder and styrene-butadienestyrene (SBS) modification. PhP modification showed high softening point, viscosity, complex modulus, and low phase angle values, making it capable of handling heavy traffic conditions and exhibiting good performance at low temperatures.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Construction & Building Technology
Jingwen Liu, Peiwen Hao, Wentao Jiang, Bowei Sun
Summary: This study focuses on preparing PVP-GNPs and adding them to SBS modified asphalt to improve the compatibility and performance of the asphalt binder. Experimental results show that the addition of PVP-GNPs enhances the softening point, temperature sensitivity, and various properties of the asphalt.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Polymer Science
Muhammad Ansar, Muhammad Ali Sikandar, Fadi Althoey, Muhammad Atiq Ur Rehman Tariq, Saleh H. Alyami, Samah Elsayed Elkhatib
Summary: The deterioration of asphalt pavements due to heavy vehicle loads and climatic variations requires the use of construction materials with excellent resilience, resistance to permanent deformation, and longer service life. This study investigates the effects of polycarbonate (PC) and polytetrafluoroethylene (PTFE) modifiers on the performance of bitumen penetration grade (PG) 70 in hot mix asphalt (HMA) pavements against rutting, fatigue, and high temperature cracking. The results show that the modification of neat bitumen with PC and PTFE increases viscosity and rigidity, resulting in improved resistance to permanent deformation and cracking.
Article
Construction & Building Technology
Ning Xu, Hainian Wang, Yu Chen, Miomir Miljkovic, Ponan Feng, Heyang Ding
Summary: This study investigates the feasibility of using a novel SBSC modifier to obtain modified bitumen with acceptable thermal storage stability and enhanced properties. The results show that the addition of the SBSC modifier significantly increases the softening point and ductility of the modified bitumen, while the decrease in penetration is not significant. Furthermore, the rheological properties and thermal storage stability of the modified bitumen are improved. Microscopic examination reveals that the SBSC modifier can be uniformly dispersed in the base bitumen. This research sheds light on the application of the SBSC modifier to bitumen pavements.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Chemistry, Physical
Canlin Zhang, Hongjun Dong, Zhengli Yan, Meng Yu, Ting Wang, Shi Xu, Zhenliang Jiang, Changbin Hu
Summary: The research focused on using triethoxyvinylsilane to organically modify LDHs to enhance the anti-aging ability of SMB. This modification improved the dispersibility and storage stability of LDHs in SMB, as well as enhancing the high-temperature properties of SMB and SBS in bitumen.
Article
Energy & Fuels
Dongmei Zhang, Yuanming Zheng, Guangchen Yuan, Yingchun Zhang, Guoping Qian, Henglong Zhang
Summary: The study investigated the aging behavior of SBS-modified bitumen with different depth after exposure in the field. Results showed that there was no aging gradient behavior in the depth direction during the construction aging stage, but a distinct gradient behavior emerged after 5 years of field aging, suggesting that only the milling surface should be considered for restoration of SBS modified bitumen pavement after 5 years of field aging.
Article
Construction & Building Technology
Xiaolong Yang, Chunhong Peng, Jiangcai Chen, Guiyong Liu, Xinyi He
Summary: By analyzing the rheological properties of bio-asphalt, the effectiveness of bio-asphalt as a substitute for petroleum asphalt has been explored. The addition of bio-asphalt improves the low-temperature rheological properties of modified asphalt while reducing the high-temperature rheological properties. The combination of bio-asphalt, SBS, and PPA exhibits excellent performance in high and low-temperature conditions. This study reveals the mechanism of bio-asphalt improving the compatibility of SBS and PPA in asphalt.
CASE STUDIES IN CONSTRUCTION MATERIALS
(2023)
Article
Construction & Building Technology
Peng Lin, Xueyan Liu, Panos Apostolidis, Sandra Erkens, Shisong Ren, Shi Xu, Tom Scarpas, Weidong Huang
Summary: The impact of different rejuvenator dosages on polymer modified bitumen was evaluated through rheological tests and differential scanning calorimetry, indicating that complex modulus, phase angle, Glover-Rowe parameter, and glass transition temperature can be used to assess the effectiveness of rejuvenators. Additionally, selecting the appropriate dosage and type of rejuvenator is crucial for engineering durable and long-lasting recycled pavement materials.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Materials Science, Multidisciplinary
P. Lin, X. Liu, P. Apostolidis, S. Erkens, Y. Zhang, S. Ren
Summary: The study reveals that the chemical composition changes correspond to the evolution of microstructure morphological and rheological properties in bituminous binders. The microstructure of rejuvenated binders shows a good correlation with stiffness after combining various principal components based on PCA results. The distance between adjacent fibrils is significantly correlated with J(nr3.2) and the complex modulus index according to regression analysis.
MATERIALS & DESIGN
(2021)
Article
Construction & Building Technology
Islam Gokalp
Summary: This study investigated the effect of Waste Transparent Nylon (WTN) as a modifier in bitumen for sustainable recycling. Testing results showed that modifying bitumen with WTN significantly changes bitumen characteristics, with an increase in softening point, viscosity and flashing point, and a decrease in penetration values. Rheological assessment revealed an increase in rutting and thermal cracking resistance, but a reduction in fatigue resistance of the bitumen samples. Overall, the results suggest that modifying bitumen with WTN can be a sustainable solution for both recycling WTN and improving bitumen properties.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Construction & Building Technology
Yanheng He, Zhilong Cao, Zhaoyang Liu, Jiangting Li, Jianying Yu, Yangyang Ge
Summary: This study investigated the aging behavior of high dosage styrene-butadienestyrene (SBS) modified bitumen (HSMB) for waterproof materials and low dosage SBS modified bitumen (LSMB) for pavement. It was found that HSMB exhibited better aging resistance than LSMB. Additionally, the effects of UV-heat synergism aging on the properties and chemical structure of HSMB and LSMB were more significant compared to heat aging alone. The aging kinetic models also showed that HSMB had a lower aging reaction rate and larger activation energy than LSMB, indicating better aging resistance.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Green & Sustainable Science & Technology
Haotong Lin, Qi Chen, Xue Luo, Yuqing Zhang, Kai Miao, Tan Li, Kaige Wang
Summary: This study explores the potential of waste bio-oil as an additive for petroleum-based bitumen, finding that the addition of bio-oil has a softening effect on bitumen. Bio-bitumen, produced by blending bio-oil fractions with petroleum-based bitumen, exhibits improved fatigue crack resistance and rutting resistance compared to base bitumen.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Chemistry, Physical
Shanglin Song, Meichen Liang, Linbing Wang, Dongna Li, Meng Guo, Luchun Yan, Xingjun Zhang, Weixun Ding
Summary: This study reveals the evolution law of natural aging of SBS-modified asphalt under the complex adverse climate environment in cold and arid regions, and analyzes the contribution rates of various environmental factors. The results show that natural aging deteriorates the viscoelastic properties of asphalt, increases the risk of fatigue cracking and low temperature cracking, but improves the deformation resistance and rutting resistance at high temperature.
Article
Construction & Building Technology
Wei Xiong, Yu Liu, Yaseen Muhammad, Fuhu Han, Ling Yang, Xin Jin, Zhenxia Zhao, Jing Li
Summary: The pursuit of improving modified asphalt using advanced nanomaterials and understanding its mechanism based on material properties is a highly attractive topic. In this study, four types of MXene were incorporated into SBS modified asphalt as UV aging resistant modifiers. The results showed that MXene incorporated modified asphalts had excellent high-temperature performance and rutting resistance, and significantly inhibited asphalt oxidation and SBS copolymer degradation. The few-layered structure and surface end groups of MXene were found to be the key factors responsible for the enhanced anti-UV aging performance of modified asphalt.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Review
Chemistry, Multidisciplinary
Hefei Liu, Yuan Qin, Hung-Yu Chen, Jiangbin Wu, Jiahui Ma, Zhonghao Du, Nan Wang, Jingyi Zou, Sen Lin, Xu Zhang, Yuhao Zhang, Han Wang
Summary: This paper reviews the progress of artificial neuronal devices based on emerging volatile switching materials, focusing on the demonstrated neuron models implemented in these devices and their utilization for computational and sensing applications. Furthermore, it discusses the inspirations from neuroscience and engineering methods to enhance the neuronal dynamics that are yet to be realized in artificial neuronal devices and networks towards achieving the full functionalities of biological neurons.
ADVANCED MATERIALS
(2023)
Article
Chemistry, Inorganic & Nuclear
Lin Wang, Xiaodan Yan, Guolong Tian, Zhenlang Xie, Shanshan Shi, Yuhao Zhang, Simin Li, Xueli Sun, Jing Sun, Jinlu He, Hui Shen
Summary: An effective one-pot reduction method was used to synthesize a novel and stable layered Cu nanocluster. The cluster, with a molecular formula of [Cu-14((BuS)-Bu-t)(3)(PPh3)(7)H-10]BF4, exhibits different structures from previously reported analogues and shows intrinsic chirality due to non-covalent ligand-ligand interactions. This cluster has potential applications in drug filling and gas adsorption, thanks to the formation of interlacing chiral-cluster enantiomers and the self-assembly of nanostructures.
DALTON TRANSACTIONS
(2023)
Article
Engineering, Electrical & Electronic
Kunran Xu, Huawei Zhang, Yishi Li, Yuhao Zhang, Rui Lai, Yi Liu
Summary: This article discusses the importance and challenges of tiny machine learning (TinyML), which executes AI workloads on resource and power strictly restricted systems. It introduces an extremely tiny backbone for constructing high efficiency CNN models for various visual tasks. Additionally, a specially designed neural co-processor (NCP) is interconnected with MCU to build an ultra-low power TinyML system, achieving record-breaking ultra-low power consumption of 160mW while implementing object detection and recognition at 30FPS.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2023)
Article
Computer Science, Artificial Intelligence
Hanzhen Xiao, C. L. Philip Chen, Guanyu Lai, Dengxiu Yu, Yun Zhang
Summary: This paper presents an integrated leader-follower consensus formation framework using neural-network-optimized distributed model predictive control (NNODMPC) strategy for constructing a distributed consensus formation scheme for two-wheel mobile robots with directed communication topology and nonholonomic constraints. The framework integrates a consensus trajectories planning subsystem (CTPS) and a consensus tracking subsystem. The NNODMPC based protocol is applied to control these two subsystems simultaneously. The optimal solution of the integrated system is obtained by a primal-dual neural networks (PDNN) QP optimizer. Experimental results verify the effectiveness of the proposed strategy.
Article
Automation & Control Systems
Juncheng Li, Weiping Sun, Xieping Gu, Jing Guo, Jun Ota, Zhifeng Huang, Yun Zhang
Summary: Bandaging is a challenging nursing task that requires simultaneous control of bandaging trajectory and tension. This article proposes a compliant robot arm based on SEA and a force-position-decoupling control strategy to solve these problems. Experimental results show that the robot arm successfully performs the task and the proposed methods enable accurate estimation of the injured arm's movement direction and position, maintaining effective bandage tension.
IEEE ROBOTICS & AUTOMATION MAGAZINE
(2023)
Article
Computer Science, Artificial Intelligence
Lei Yan, Zhi Liu, C. L. Philip Chen, Yun Zhang, Zongze Wu
Summary: This article investigates the containment control for state-constrained multiagent systems. It proposes a distributed adaptive observer to estimate leader's unknown parameters, and establishes a log-type nonlinear state-dependent barrier function to handle time-varying asymmetric full-state constraints. Furthermore, a distributed adaptive fuzzy containment control scheme is developed, guaranteeing convergence of containment error and boundedness of signals in the closed-loop system.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2023)
Article
Engineering, Mechanical
Lili Zhou, Mingzhe Huang, Fei Tan, Yuhao Zhang
Summary: This paper investigates the mean-square bounded synchronization problem for a class of complex cyber-physical networks under deception attacks. By using an improved pinning impulsive control scheme, the status of all components in the networks can be made consistent, with preferential control on nodes that have a high probability of being attacked. The given scheme is proven to achieve mean-square bounded synchronization of complex networks under deception attack, with controllable and computable synchronization time. Simulation examples demonstrate the validity of the theoretical results.
NONLINEAR DYNAMICS
(2023)
Article
Nuclear Science & Technology
Haiqi Zhao, Daogang Lu, Yuhao Zhang, Xueyuan Zhang
Summary: This paper investigates the influence of different heat exchanger (DHX) layout schemes on the performance of a pool-type sodium-cooled fast reactor (SFR) through numerical simulations. The results show that installing DHXs in both cold and hot pools can achieve the long-term cooling stage of natural convection earlier and result in a more uniform temperature distribution in the hot pool. However, a local asymmetrical temperature distribution is observed in the cold pool.
PROGRESS IN NUCLEAR ENERGY
(2023)
Article
Chemistry, Multidisciplinary
Han Li, Yan Ma, Hong Bao, Yuhao Zhang
Summary: Industrial nameplates are important for conveying critical information. A novel approach using Probabilistic Hough Transform is proposed for rectifying distortion and clipping in nameplate pictures. The method can handle a collection of challenging nameplate pictures and provides clear and readable nameplate text. Experimental results show improved accuracy in model identification compared to other methods.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Theory & Methods
Lei Yan, Zhi Liu, C. L. Philip Chen, Yun Zhang, Zongze Wu
Summary: This paper addresses the decentralized adaptive fuzzy tracking control problem for state-constrained interconnected systems. Feasibility conditions imposed by barrier Lyapunov function (BLF) based approaches are overcome by proposing a nonlinear state-dependent barrier function (NSBF). Fuzzy logic systems (FLS) are employed to approximate nonlinear interactions and uncertainties. A decentralized direct adaptive fuzzy control (DAFC) scheme is developed using reduced-order smooth functions and backstepping control design procedures. The proposed control scheme ensures feasibility conditions, excludes partial-derivative terms from virtual controllers, and maintains negative semi-definiteness of the time derivative of the Lyapunov function. It guarantees that state constraints are not violated and achieves asymptotic convergence of the tracking error to a predefined interval, as demonstrated by simulation examples.
FUZZY SETS AND SYSTEMS
(2023)
Article
Nuclear Science & Technology
Yuhao Zhang, Xueyuan Zhang, Haiqi Zhao, Daogang Lu
Summary: The China Experimental Fast Reactor (CEFR) has a pool-type primary circuit. The sticking of the main circulating pump shaft in the secondary circuit is an important accident. To investigate this accident, the three-dimensional thermal-hydraulic phenomena in the sodium pool were simulated using a modular modeling and integrated coupling calculation method. The simulation results provided numerical reference for the safety design and assessment of CEFR.
PROGRESS IN NUCLEAR ENERGY
(2023)
Article
Automation & Control Systems
Chengjie Huang, Zhi Liu, C. L. Philip Chen, Yun Zhang
Summary: This literature focuses on fast finite-time adaptive consensus control for nonlinear nontriangular structured (NTS) multiagent systems (MASs) with uncertainty. The consensus control for NTS MASs has two design difficulties, which are the nonaffine characteristics of the control input and the algebraic loop from the direct backstepping. Furthermore, the traditional adaptive framework is unable to achieve the desired finite-time asymptotic consensus due to the repeated utilization of necessary inequalities, only satisfying the practical finite-time stability. To tackle these obstacles, a novel adaptive neural algorithm is discussed in this work, utilizing a modified tuning function and projection operator. Under the constructed fast finite-time stabilizer, the error of the NTS MASs asymptotically converges to a preset range within finite time. The flexibility of the algorithm is demonstrated through a simulation example.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Engineering, Multidisciplinary
Yuhua Qin, Haoran Liu, Rongrong Yin, Mingru Dong, Liyue Zhang
Summary: This letter proposes an iterative localization mechanism based on error control (ILMEC) to improve the coverage and accuracy of node localization in underwater acoustic sensor networks (UASNs). ILMEC determines the localization order and transmission power of each known node using a multi-path generation method and selects reference nodes using a node confidence evaluation method. It also incorporates a distance correction method based on the signal angle for precise localization. Simulations are conducted to validate the performance of ILMEC.
SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES
(2023)
Article
Automation & Control Systems
Xingwei Zhao, Yuhao Zhang, Wenzheng Ding, Bo Tao, Han Ding
Summary: In this article, a nonlinear model predictive cooperative control (NMPCC) coupled with a cooperative index is proposed for dual-arm robots. Experimental results show that this method is easy to apply and can adapt to different complex manipulation tasks.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Computer Science, Artificial Intelligence
Kaixin Lu, Zhi Liu, Haoyong Yu, C. L. Philip Chen, Yun Zhang
Summary: Solving the problem of optimizing performance and satisfying constraints in control operation usually involves a complicated and time-consuming learning process with neural networks, and is only applicable for simple or time-invariant constraints. This paper proposes a newly adaptive neural inverse approach that removes these restrictions. By introducing a new universal barrier function to transform the constrained system into an equivalent one with no constraint, and designing a switched-type auxiliary controller and a modified criterion for inverse optimal stabilization, it is proven that optimal performance can be achieved with a computationally attractive learning mechanism and all the constraints are never violated. Furthermore, improved transient performance is obtained by explicitly designing the bound of the tracking error. An illustrative example verifies the proposed methods.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
