Results 31 to 40 of about 1,520,976 (184)

Evalution of Hot Mix Asphalt Moisture Sensitivity Using the Nottingham Asphalt Test Equipment, July 2005 [PDF]

, 2005
Moisture sensitivity of Hot Mix Asphalt (HMA) mixtures, generally called stripping, is a major form of distress in asphalt concrete pavement. It is characterized by the loss of adhesive bond between the asphalt binder and the aggregate (a failure of the ...

core  

A Generic Approach to Creating a National Soil Security Strategy

Sustainable Development, EarlyView.
ABSTRACT Soil is a living and non‐renewable resource that underpins our very existence. It produces our food, filters our water, stores vast amounts of carbon, cycles essential nutrients, and sustains the rich tapestry of biodiversity on which our planet depends.
Alex McBratney, Pasquale Borrelli, Sandra J. Evangelista, Julia Feeth, Damien Field, Nicolas Francos, Irene Heuser, Anilkumar Hunakunti, Daniel Irving, Thilini Jayasekara, Bruce Lascelles, Fatima Maria de Souza Moreira, Budiman Minasny, Cristine L. S. Morgan, Wartini Ng, Julio C. Pachón Maldonado, Mercedes Román Dobarco, Amin Sharififar, Quentin Styc, Mara Thiene, David Watt, Jae E. Yang   +21 more
wiley   +1 more source

Evaluation of Hot Mix Asphalt Moisture Sensitivity Using the Nottingham Asphalt Test Equipment;TR-483, July 2005 [PDF]

, 2005
Moisture sensitivity of Hot Mix Asphalt (HMA) mixtures, generally called stripping, is a major form of distress in asphalt concrete pavement. It is characterized by the loss of adhesive bond between the asphalt binder and the aggregate (a failure of the ...

core  

Quantitative evaluation method for workability of hydraulic asphalt concrete

Journal of Physics: Conference Series
Abstract In order to improve the construction quality of asphalt concrete cores or panels and reduce the probability of water leakage, a quantitative evaluation method for the workability of asphalt concrete had been explored. Three technical approaches named as penetration resistance method, slump-flow method, and weber viscosity ...
Zhifa Ma, Fengwei Ning, Wei Sui, Zhongtian Li, Chunhua Mao   +4 more
openaire   +1 more source

Envisioning human–nature relationships in the Wadden: An embodied, arts‐based approach for exploring relational, more‐than‐human futures

People and Nature, Volume 8, Issue 11, Page 4054-4078, November 2026.
Abstract Dominant approaches to imagining futures are often anthropocentric, emphasising socio‐technical change without fully accounting for human–nature relationships. Yet sustainability transformations demand approaches to imagining alternative, desirable futures that centre respectful and reciprocal human–nature relationships and reveal the ...
Jay Marisca Gietzelt, Maria Tengö, Bas Verschuuren, Kasper Kok   +3 more
wiley   +1 more source

Multi‐Model Machine Learning Framework for Predicting Drainage Performance of Porous Asphalt Mixtures

Applied Research, Volume 5, Issue 5, October 2026.
A multi‐model machine learning framework predicts four drainage indicators of porous asphalt mixtures from 11 macro‐void and meso‐pore descriptors. The stacking ensemble achieves R2 > 0.999, identifying connected void ratio, total void ratio, and volumetric mean pore diameter as dominant design variables. ABSTRACT Porous asphalt mixtures (PAM), such as
Guangming Guo, Zhengchao Zhang, Fuyong Zhang, Guangyong Wang, Guoshan Liu, Kaidi Liu   +5 more
wiley   +1 more source

Prediction of Dynamic Compressive Strength of Hydraulic Asphalt Concrete Based on BP Neural Network and Response Surface Fitting

Renmin Zhujiang, 2022
To verify the applicability of back-propagation (BP) neural network models in predicting the compressive strength of hydraulic asphalt concrete,we designed 32 groups of cylinder specimens for uniaxial compression tests from the two dimensions of strain ...
XIN Zhenke
doaj  

Experimental, Numerical, and Analytical Model of the Meso‐Mechanical Behavior of Linear Low‐Density Polyethylene Plastic and Sand Composite

Engineering Reports, Volume 8, Issue 10, October 2026.
High‐volume sand reinforcement (up to 62%) dramatically enhances the compressive stiffness of waste LLDPE composites, increasing elastic modulus from 217 to 1683 MPa. A validated 3D RVE mesoscale model (R2 = 0.99) and modified analytical formulation accurately predict elastic behavior at high filler contents where classical models fail.
Babatunde Olawale Yusuf, Tareg Abdalla Abdalla   +1 more
wiley   +1 more source

Development of a combined micromechanics & damage mechanics model for the design of asphalt pavements [PDF]

, 2006
Joint Conference of the Association for Computational Mechanics in Engineering (UK) and the Irish Society for Scientific and Engineering Computation, 19-20 April 2006, QUB, BelfastAsphalt is a complex, heterogeneous material that is composed of ...
Gibney, Amanda, Sorelli, L. G., Gilchrist, M. D., McNally, Ciaran, Tabakovic, Amir   +4 more
core   +1 more source

Stiffness of cold-recycled mixtures under variable deformation conditions in the IT-CY test

Case Studies in Construction Materials, 2023
Stiffness modulus belongs to the most important properties describing the cold-recycled mixtures (CRM) in terms of their usability in road pavement structures. Previous research proved that this property is strongly dependent on the scheme and conditions
Mariusz Jaczewski, Cezary Szydłowski, Bohdan Dołżycki   +2 more
doaj   +1 more source