Results 81 to 90 of about 8,421,233 (310)
Monthly Attenuation Prediction for Asphalt Pavement Performance by Using GM (1, 1) Model
Advances in Civil Engineering, 2019 Due to the uncertainty and variability of various factors affecting the pavement performance, the change in pavement performance cannot be completely determined.
Limin Tang, Duyang Xiao
doaj +1 more source
A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
Advanced Engineering Materials, EarlyView.High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source
Durable, Cost-Effective Pavement Markings Phase I: Synthesis of Current Research, June 2001 [PDF]
, 2001 Pavement marking technology is a continually evolving subject. There are numerous types of materials used in the field today, including (but not limited to) paint, epoxy, tape, and thermoplastic.
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Distress and profile data analysis for condition assessment in pavement management systems
, 2019 Pavement data collection is the most expensive and time consuming component of Pavement Management System (PMS). Thus, possible methods of minimizing the need of such data might be critical in reducing pavement condition monitoring costs.
Cafiso, S., +8 more
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Advanced Functional Materials, EarlyView.An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
Quality Management for Pavement Condition Data Collection
, 2015 Within a pavement management system, pavement condition data are used for modeling pavement performance; to trigger maintenance, rehabilitation, and reconstruction; to evaluate program effectiveness; and to satisfy many other purposes.
Zimmerman, Kathryn A., Pierce, Linda M.
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Influence of Asphalt Visco-Elastic Properties on Flexible Pavement Performance
The Baltic Journal of Road and Bridge Engineering, 2016 Even though every layer of pavement structure is important and affects pavement performance, the asphalt layers visco-elasticity plays significant role. Bitumen properties, as well as asphalt mixture properties, vary depending on temperature and loading ...
Rita Kleizienė +2 more
doaj +1 more source
PERFORMANCE ENHANCEMENT OF ASPHALT PAVEMENT [PDF]
Al-Azhar Bulletin of Science- Basic Science Sector, 2013 Age hardening of paving grade asphalt is a major factor affecting the durability of bitumen pavement. In this research, 60/70 penetration grade asphalt is modified using Styrene Butadiene Rubber(SBR) in percentages by weight of asphalt ranging from 2 to 6% and 1% by weight of asphalt of an antioxidant namely 4.4.
openaire +1 more source
From Food to Power: Hydrogel Thermoelectrics for Ingestible Electronics
Advanced Functional Materials, EarlyView.We introduce a fully edible thermoelectric–electrochromic platform that harvests heat from food and converts it into a visible color change. N‐type and p‐type hydrogel thermoelectric generators connected in series power anthocyanin‐based electrochromic displays, demonstrating the feasibility of safe, biodegradable, ingestible systems for on‐food ...
Antonia Georgopoulou +3 more
wiley +1 more source
Preparing for the Next Transformation in Pavement Management
, 2015 Since the initial development of a systems approach for managing pavements in the late 1970's and early 1980's, there have been tremendous changes in the way transportation agencies have designed, constructed, and managed their pavement networks. In just
Zimmerman, Kathryn A.
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