Article
Polymer Science
Shuang Shi, Tao Ma, Linhao Gu, Yanning Zhang
Summary: SiO2/SMPU is a new type of sealant with good shape memory effect, which can adapt to the width changes of expansion joints, prolong the service life of pavement, and reduce maintenance costs. Through various experimental methods, the study confirmed the influence of SiO2 particles on the new sealant, providing theoretical support for its application in concrete pavement.
Article
Engineering, Mechanical
Xuelian Zhang, Jian Li, Zhihong Liang, Qianhua Kan
Summary: This study proposes an efficient and simple method for selecting shape memory polyurethane actuators with different shapes and sizes, and verifies its feasibility through simulation and experimentation.
ENGINEERING FAILURE ANALYSIS
(2022)
Article
Chemistry, Physical
Noe Fanjul-Mosteirin, Robert Aguirresarobe, Naroa Sadaba, Aitor Larranaga, Edurne Marin, Jaime Martin, Nicolas Ramos-Gomez, Maria C. Arno, Haritz Sardon, Andrew P. Dove
Summary: Researchers successfully printed hydrogels with tunable mechanical properties using the crystallization process of poly(ethylene glycol) without the need for postprinting cross-linking. These hydrogels are ideal candidates for biomedical applications due to their non-toxicity.
CHEMISTRY OF MATERIALS
(2021)
Article
Polymer Science
Lukas Benecke, Robert Tonndorf, Chokri Cherif, Dilbar Aibibu
Summary: Shape memory polymers are gaining attention for their ability to recover high deformations, low activation temperatures, and high actuation stress. They can be used as fiber-based solutions for smart devices in various fields. In this study, the influence of spinning methods and parameters on shape memory polymer yarns was investigated. The results showed that the spinning method significantly affects strain fixation and generated stress, with draw ratio having an impact on stress conversion and efficiency. The selection of the spinning process is crucial for achieving specific shape-changing properties.
Article
Engineering, Chemical
Reza Lashkari, Seyyed A. Tabatabaei-Nezhad, Maen M. Husein
Summary: This study introduces smart wellbore strengthening materials based on shape memory polyurethane, and confirms their compatibility with xanthan gum-based drilling fluids. Experimental results show that these materials can smoothly flow through the bit, pack against and seal fractures, and release recovery stress once activated.
Article
Polymer Science
Monika Bil, Magdalena Jurczyk-Kowalska, Kamil Kopec, Marcin Heljak
Summary: The study investigated the structure-function correlations of PU-based composites with HA and GeS. Increasing HA content enhanced hydrogen-bonding interaction, improving shape-memory property and thermal stability. The shape-recovery process initiated drug release, and the composites exhibited antibacterial properties.
Article
Polymer Science
Hui Yang, Evelyne van Ruymbeke, Charles-Andre Fustin
Summary: This study systematically investigates the viscoelastic properties of DCN, IPN, and DN hydrogels using oscillatory shear rheology. The results show that all double dynamics hydrogels have a higher plateau modulus than the sum of the single networks, indicating a synergetic effect. Furthermore, the relaxation behaviors of the hydrogels are influenced by the dynamics of the corresponding single dynamic networks.
Article
Materials Science, Characterization & Testing
Feng Wang, Man Jiang, Yu Pan, Yuan Lu, Wangjie Xu, Yufan Zhou
Summary: UV light responsive shape memory polyurethane (SMPU) composites were successfully fabricated by direct ink writing (DIW) 3D printing with the addition of lignin nanotube (LNT) as a UV absorbent. The composites exhibited a shape recovery rate of 99% under UV radiation and a significantly improved tensile strength compared to pristine PU. The study suggests that the direct ink writing of SMP composites holds great promise for various applications.
Article
Nanoscience & Nanotechnology
Chih-Yu Fu, Wei-Tsung Chuang, Shan-hui Hsu
Summary: A water-based biodegradable difunctional polyurethane with shape-memory properties was synthesized and used to form shape-memory cryogels. The mechanism of the thermally induced shape-memory effect was elucidated through in situ wide and small-angle X-ray scattering studies. The cryogels demonstrated significant shape changes at specific temperatures, showing potential applications in tissue engineering and minimally invasive surgery.
ACS APPLIED MATERIALS & INTERFACES
(2021)
Article
Polymer Science
Chao Liu, Hong Yang, Liangen Shen, Lei Shi, Qing Yin, Yan Bao, Jianzhong Ma
Summary: In this study, a series of shape-memory, self-healing aqueous polyurethane (SMPU) were synthesized based on the molecular self-assembly design. The SMPU exhibited superior self-healing ability (healing efficiency 96.3%), excellent mechanical properties (tensile strength 39.1 MPa and elongation at break 908%), and recyclable capabilities. Moreover, SMPU showed a noteworthy shape memory effect with high shape fixation and recovery rates.
EUROPEAN POLYMER JOURNAL
(2023)
Article
Polymer Science
Jinlong Fan, Xiaohan Liang, William W. Yu, Dangwei Fu, Yanyan Yu, Hailong Liu, Jie Zhang
Summary: Partial crystalline polysiloxane-based polyurethane copolymers were synthesized using polydimethylsiloxane and disiloxane. The copolymers exhibited good tensile properties and multiple shape deformation. Tensile tests showed that stretching resulted in crystal destruction, but the microstructure became stable after twice stretching. Moreover, the lost crystallinity could be partially recovered through heat treatment.
EUROPEAN POLYMER JOURNAL
(2023)
Article
Chemistry, Applied
Yujie Wang, Lili Wang, Hao Liu, Suqin He, Xuying Liu, Wentao Liu, Miaoming Huang, Chengshen Zhu
Summary: The development of smart polyurethane (PU) coatings to enhance the biocompatibility of metal scaffolds has attracted significant interest in recent years. The study revealed that IPDI-based PU exhibits thermal-responsive deformation while HDI-based PU possesses excellent shape memory property. This research offers a useful approach for effectively designing the structures and properties of PU coatings.
PROGRESS IN ORGANIC COATINGS
(2021)
Article
Materials Science, Paper & Wood
Nazife Korkmaz Memis, Sibel Kaplan
Summary: Thermal and water responsive shape memory nanocomposite filaments were produced with excellent shape memory performance attributed to the thermal responsiveness of SMPU and water responsiveness from CNWs, displaying good mechanical and thermal properties suitable for smart textile applications.
Article
Chemistry, Physical
Arvind Gupta, Tizazu H. Mekonnen
Summary: This study reports the development of nanocrystalline cellulose (CNCs)-enabled polycaprolactone-based shape memory polyurethane biocomposites using an in situ one-pot reaction. The addition of CNCs resulted in significant improvements in mechanical properties and shape memory capability, making the material promising for biomedical applications.
JOURNAL OF COLLOID AND INTERFACE SCIENCE
(2022)
Article
Engineering, Environmental
Meijie Qu, Hai Wang, Qiushan Chen, Lu Wu, Ping Tang, Mingshuai Fan, Yanqiu Guo, Hongyu Fan, Yuezhen Bin
Summary: Thermally-electrically responsive shape memory fibers made of PCL and TPU coated with MWCNT were prepared via wet-spinning and dip-coating, showing excellent temperature response, stability, and cyclic performance after multiple coating cycles.
CHEMICAL ENGINEERING JOURNAL
(2022)
Article
Computer Science, Interdisciplinary Applications
Cong Du, Pengfei Liu, Markus Oeser
Summary: This study proposes a homogenized method for characterizing the nonlinear behavior of multi-phased asphalt mixtures. The method employs a specific mathematical model to describe the viscoplastic strain and internal damage evolution of asphalt materials. Finite element simulations are conducted to validate the method, and the results demonstrate its accuracy in predicting the effects of different inclusions on asphalt mixtures.
ENGINEERING WITH COMPUTERS
(2023)
Article
Computer Science, Interdisciplinary Applications
Can Jin, Shuliang Wang, Pengfei Liu, Xu Yang, Markus Oeser
Summary: This study investigates the impact of aggregate contact indicators on the morphology and stability of asphalt mixtures. A virtual modeling algorithm is proposed to control the density and distribution of aggregate contacts in the microstructure. By conducting simulations and laboratory tests, it is confirmed that the number and uniform distribution of aggregate contacts have a positive influence on the strength and fatigue resistance of mixtures.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2023)
Article
Chemistry, Physical
Milad Moharekpour, Pengfei Liu, Markus Oeser
Summary: Continuously reinforced concrete pavement (CRCP) is a type of concrete pavement without intermediate transverse expansions. The MEPDG method is more reliable than the AASHTO 86/93 design method for CRCP. By considering the interactions among geometrics, pavement structure layers, material properties, subgrade, traffic, and environmental conditions, the MEPDG method can accurately predict crack spacing and crack width.
Article
Computer Science, Interdisciplinary Applications
Jiale Lu, Baofeng Pan, Weixin Ren, Quan Liu, Pengfei Liu, Markus Oeser
Summary: This study proposes a complete framework based on the generative adversarial networks (GANs) architecture for texture regeneration using limited texture data samples, aiming to solve the high cost problem of collecting surficial textures. Improved data augmentation and modified sigmoid normalization operations were used to enhance the regeneration capability of GAN. The results demonstrate that deep regret analytic GAN with well generalization ability effectively regenerates the skewed distribution of surficial heights which is not achievable by present texture regeneration methods.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2023)
Article
Construction & Building Technology
Yulin He, Xuan Yang, Shenqing Xiao, Pengfei Liu, Guoyang Lu, Chao Xing, Zepeng Fan, Wei Sheng, Dawei Wang
Summary: Driving speed, pavement type, surface characteristics, intermediate media, and tire properties are important factors that impact the frictional behavior between tire and pavement. A lack of equipment that can simulate the skid resistance behavior of high-speed vehicles based on real tire in the laboratory has been identified. To address this deficiency, High-speed Friction Testing (HSFT) equipment was developed, which utilizes real tire loading and provides reliable results for multi-factor coupling skid resistance tests. The results indicate that driving speed, water film thickness, and tire load have a negative correlation with skid resistance, with water film thickness having the greatest influence.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Construction & Building Technology
Xuan Yang, Zepeng Fan, Jiaqiu Xu, Jiao Lin, Yulin He, Dawei Wang, Pengfei Liu
Summary: This study investigated the feasibility of using graphite tailings (GTs) as fillers for asphalt mastics. The results showed that the GTs exhibited better mechanical properties and dielectric properties compared to limestone, making them a viable material for sustainable asphalt pavements. This study provides a solution for the comprehensive recycling and reuse of GTs, reducing economic and environmental costs.
INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING
(2023)
Article
Engineering, Civil
Chaohe Wang, Dawei Wang, Pengfei Liu, Yulin He, Markus Oeser
Summary: Unmanned driving is the future development direction in transportation, relying heavily on sensor monitoring and machine control. Establishing a vehicle-pavement coupling model based on road roughness data is significant for analyzing and guiding driving comfort, cargo safety, and road friendliness. This study constructed a 3D model of pavement roughness using fractal theory, and proposed a revised 3D flexible roller contact tire model. Vibration dynamics models for different vehicles were established, providing threshold conditions for ride comfort, cargo safety, and road friendliness. The results showed that pavement roughness significantly affected vehicle vibration, and the proposed models accurately calculated vibration characteristics and dynamic load coefficients in real time, providing theoretical suggestions for future unmanned ground vehicles.
JOURNAL OF TRANSPORTATION ENGINEERING PART B-PAVEMENTS
(2023)
Review
Engineering, Civil
Hui Yao, Zijin Xu, Yue Hou, Qiao Dong, Pengfei Liu, Zhoujing Ye, Xin Pei, Markus Oeser, Linbing Wang, Dawei Wang
Summary: The road is a crucial civil infrastructure that plays a significant role in society. Its quality and lifespan directly impact the safety and comfort of users. Therefore, engineers consider road construction, condition detection, monitoring, and maintenance as highly important. Recent research has revealed the application of industrial informatics approaches, such as image processing, computer-based algorithms, and advanced sensors, inroads. This review examines the industrial application of these technologies, analyzing the pros and cons of each. It focuses on road construction, maintenance decision strategy, road structure evaluation, smart sensing in roads, and cooperative vehicle infrastructure systems. Through industrial informatics, engineers hope to advance the development of smart, safe, and sustainable roads.
JOURNAL OF TRAFFIC AND TRANSPORTATION ENGINEERING-ENGLISH EDITION
(2023)
Article
Green & Sustainable Science & Technology
Dawei Wang, Xuan Yang, Xiangyu Chu, Yulin He, Zepeng Fan, Chao Xing, Pengfei Liu
Summary: Road marking system is a crucial component of asphalt pavement, providing irreplaceable support for improving traffic safety. The durability and environmental impact of road markings are important considerations, which are currently not fully addressed in laboratory tests. In this study, an Accelerated Wearing Tester (AWT) was developed to simulate the wearing process between tires and road markings. Results showed that skid resistance of road markings fluctuated significantly with wearing time, and environmental analysis indicated the emission of pollutants such as alkanes and benzenes. Attention must be given to the safety and environmental concerns of road marking materials. The method established in this study lays the foundation for future improvements in driving safety and environmental friendliness of road marking materials.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Construction & Building Technology
Qilin Yang, Zepeng Fan, Pengfei Liu, Dawei Wang
Summary: Graphene can improve the mechanical performance and durability of bitumen composite, but its reinforcement mechanism is not clear. This study used molecular dynamics simulation to analyze the mechanisms of tensile and shear fractures in a graphene-reinforced bitumen composite. The results showed that graphene in the orthogonal plane has higher shear strength and can support and transmit shear loads better. The study provides atomic-level insight into the reinforcement mechanism and can contribute to future applications of carbon nanomaterials in transportation infrastructure.
JOURNAL OF MATERIALS IN CIVIL ENGINEERING
(2023)
Article
Multidisciplinary Sciences
Dawei Wang, Chengsen Ye, Haotian Lv, Luopei Meng, Fujiao Tang, Yaowei Ni, Pengfei Liu
Summary: This study investigated the dielectric properties of asphalt mixtures under different temperatures and frequencies. It was found that the dielectric constants and dielectric loss factors have a linear relationship with temperature, while the growth rates vary with frequency. Nonlinear fitting was used to develop prediction models for the dielectric loss factor and dielectric constant, and these models showed improved accuracy and robustness compared to classical models.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2023)
Editorial Material
Multidisciplinary Sciences
Yue Hou, Qiao Dong, Dawei Wang, Jenny Liu
Summary: Transportation infrastructures are crucial in modern society, and failures in these infrastructures can lead to significant damage. Artificial intelligence (AI) has become a powerful tool for analyzing and preventing engineering failures in transportation infrastructures and materials, offering advantages such as convenient characterization, failure information extraction, performance evaluation, long-term performance prediction based on big data, and optimization of maintenance strategies. In the future, AI techniques will be even more effective in data collection, transmission, fusion, mining, and analysis, helping engineers quickly detect, analyze, and prevent failures in transportation infrastructures and materials.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2023)
Article
Green & Sustainable Science & Technology
Zhihao Cheng, Xiao Li, Qilin Yang, Naixing Liang, Liangliang Chen, Shaopeng Zheng, Dawei Wang
Summary: Porous asphalt pavements have advantages in drainage, traffic safety, and noise reduction, but may weaken the mechanical properties. This study investigates the compaction characteristics and skeleton contact state of porous asphalt mixtures. The research finds that there are distinct stages in the compaction process. All gradations meet the maximum porosity requirement, while only the medium and fine gradations meet the minimum requirement. Furthermore, medium-graded mixtures exhibit better skeletal embedding and strength, providing theoretical support for material grade optimization.
Article
Construction & Building Technology
Tianshuai Li, Sang Luo, Jiao Lin, Guoyang Lu, Dong Liang, Markus Oeser, Dawei Wang
Summary: The use of MDI-based additives to prepare IMB is an effective solution for achieving energy savings and performance improvements. This study investigates the aging properties of IMB through experimental and quantum chemical calculations, revealing the role of chemical reactions and noncovalent interactions in delaying oxidation. The findings provide insights into the aging behaviors of IMB and offer references for the design of chemically modified bitumen.
CONSTRUCTION AND BUILDING MATERIALS
(2023)