A New Form of Genetic Algorithm for Back-Calculating Pavement Structure Modulus Based on Database Searching Theory

2012 ◽  
Vol 193-194 ◽  
pp. 1090-1094
Author(s):  
Xin Jian Feng ◽  
Jian Fang Fu ◽  
Jian Lin Zhang
Keyword(s):  
Genetic Algorithm ◽  
Traditional Method ◽  
Measured Data ◽  
Database Searching ◽  
Falling Weight Deflectometer ◽  
Load Pulse ◽  
New Form ◽  
Pavement Structure ◽  
Falling Weight ◽  
Better Than

The Falling Weight Deflectometer (FWD) is designed to impart a load pulse to the pavement surface which simulates the load produced by a rolling vehicle wheel, wildly used in back-calculating pavement structure modulus. In this paper, a new form of Genetic Algorithm based on database searching theory is introduced. This method is not sensitive to initial values and it could identify the modulus effectively with establishing simple databases. By using a project measured data as an example, the result shows that this method is stable, convergent and practical. This method is better than the traditional method. It will be one of useful tools for the highway assessment.

Dynamic Interpretation of Falling Weight Deflectometer Test Results: Spectral Element Method

2000 ◽  
Vol 1716 (1) ◽  
pp. 49-54 ◽  
Author(s):  
Rafid AI-Khoury ◽  
Athanassios Scarpas ◽  
Cor Kasbergen ◽  
Johan Blaauwendraad
Keyword(s):  
Iterative Algorithms ◽  
Spectral Element ◽  
Falling Weight Deflectometer ◽  
Reflection And Refraction ◽  
Element Program ◽  
Pavement Structure ◽  
Element Technique ◽  
Falling Weight ◽  
Impact Of Falling ◽  
Element Method

The use of spectral analysis as a means of analyzing the dynamic impact of falling weight deflectometer (FWD) load pulses on pavements is covered. The spectral element technique is utilized. Only forward analyses of pavement dynamics are presented, with the emphasis on the suitability of the method for solving inverse problems. LAMDA (layered media dynamic analysis), a newly developed spectral element program, is utilized for the simulation of the interaction between the FWD load pulse and the pavement structure. In LAMDA, the formulation of the wave propagation, reflection, and refraction in a layer is done in a closed form. The assembling of the elements (in the multilayer system) is carried out in a manner similar to that in the finite element method. Consequently, the size of the mesh of a pavement structure is as large as the number of the layers involved. This reduces the computational requirements substantially and hence enables utilization of LAMDA in iterative algorithms for backcalculation purposes.

scholarly journals Interaction of Physical Parameters and The Strength of Frost Blanket Course in Road Pavement Structure

2018 ◽  
Vol 13 (4) ◽  
pp. 416-428 ◽  
Author(s):  
Lina Bertulienė ◽  
Lina Juknevičiūtė–Žilinskienė ◽  
Henrikas Sivilevičius ◽  
Alfredas Laurinavičius
Keyword(s):  
Strength Properties ◽  
Physical Parameters ◽  
Light Weight ◽  
Falling Weight Deflectometer ◽  
The Road ◽  
Road Pavement ◽  
Pavement Structure ◽  
Pavement Structures ◽  
Falling Weight ◽  
Reliable Correlation

This paper determines the interaction between the physical indicators of frost blanket course and its deflection modulus, measured by static and dynamic devices. The Pilot Road has been selected to examine the strength properties (deflection module) of frost blanket course. A Pilot Road consisting of 27 road sections, divided into 5 different road structures. A Pilot Road has been selected to examine the strength properties (deflection module) of frost blanket course. In this research was determined the strength of frost blanket course in road pavement structures of Pilot Road by four devices: Falling Weight Deflectometer Dynatest 8000, Light Weight Deflectometers Prima 100 and ZORN ZSG 02 and Static Beam Strassentest. The results showed no reliable correlation between the deflection modulus, measured by different devices, and the physical indicators of the frost blanket course of the road pavement structures in Pilot Road.

scholarly journals A Building-Block-Based Genetic Algorithm for Solving the Robots Allocation Problem in a Robotic Mobile Fulfilment System

2019 ◽  
Vol 2019 ◽  
pp. 1-15
Author(s):  
Jingtian Zhang ◽  
Fuxing Yang ◽  
Xun Weng
Keyword(s):  
Genetic Algorithm ◽  
Dynamic Scheduling ◽  
Building Blocks ◽  
Allocation Problem ◽  
Accurate Analysis ◽  
Allocation Problems ◽  
Scheduling Method ◽  
Project Scheduling Problem ◽  
Block Based ◽  
Better Than

Robotic mobile fulfilment system (RMFS) is an efficient and flexible order picking system where robots ship the movable shelves with items to the picking stations. This innovative parts-to-picker system, known as Kiva system, is especially suited for e-commerce fulfilment centres and has been widely used in practice. However, there are lots of resource allocation problems in RMFS. The robots allocation problem of deciding which robot will be allocated to a delivery task has a significant impact on the productivity of the whole system. We model this problem as a resource-constrained project scheduling problem with transfer times (RCPSPTT) based on the accurate analysis of driving and delivering behaviour of robots. A dedicated serial schedule generation scheme and a genetic algorithm using building-blocks-based crossover (BBX) operator are proposed to solve this problem. The designed algorithm can be combined into a dynamic scheduling structure or used as the basis of calculation for other allocation problems. Experiment instances are generated based on the characteristics of RMFS, and the computation results show that the proposed algorithm outperforms the traditional rule-based scheduling method. The BBX operator is rapid and efficient which performs better than several classic and competitive crossover operators.

scholarly journals Optimization of Vehicle-to-Vehicle Frontal Crash Model Based on Measured Data Using Genetic Algorithm

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 3131-3138 ◽  
Author(s):  
Bernard B. Munyazikwiye ◽  
Hamid Reza Karimi ◽  
Kjell G. Robbersmyr
Keyword(s):  
Genetic Algorithm ◽  
Measured Data ◽  
Frontal Crash ◽  
Model Based ◽  
Vehicle To Vehicle ◽  
Crash Model

DIPLOBACK: Neural-Network-Based Backcalculation Program for Composite Pavements

1997 ◽  
Vol 1570 (1) ◽  
pp. 143-150 ◽  
Author(s):  
Lev Khazanovich ◽  
Jeffery Roesler
Keyword(s):  
Neural Network ◽  
Winkler Foundation ◽  
Multilayer Composite ◽  
Falling Weight Deflectometer ◽  
Subgrade Reaction ◽  
Elastic Parameters ◽  
The Neural Networks ◽  
Elastic Layers ◽  
Falling Weight ◽  
Moduli Of Elasticity

A neural-network-based backcalculation procedure is developed for multilayer composite pavement systems. The constructed layers are modeled as compressible elastic layers, whereas the subgrade is modeled as a Winkler foundation. The neural networks are trained to find moduli of elasticity of the constructed layers and a coefficient of subgrade reaction to accurately match a measured deflection profile. The method was verified by theoretically generated deflection profiles and falling weight deflectometer data measurements conducted at Edmonton Municipal Airport, Canada. For the theoretical deflection basins, the results of backcalculation were compared with actual elastic parameters, and excellent agreement was observed. The results of backcalculation using field test data were compared with the results obtained using WESDEF. Similar trends were observed for elastic parameters of all the pavement layers. The backcalculation procedure is implemented in a computer program called DIPLOBACK.

Full-Scale Experimental Evaluation of the Flood Resiliency of Thin Concrete Overlay on Asphalt Pavements

2021 ◽  
pp. 036119812110615
Author(s):  
Angel Mateos ◽  
John Harvey ◽  
Miguel Millan ◽  
Rongzong Wu ◽  
Fabian Paniagua ◽  
...  
Keyword(s):  
Structural Damage ◽  
Water Saturation ◽  
Critical Time ◽  
Structural Response ◽  
Extreme Weather Events ◽  
Pavement Materials ◽  
Structural Capacity ◽  
Weather Events ◽  
Pavement Structure ◽  
Falling Weight

The capacity to resist flooding is one of the critical challenges of pavement resiliency in locations subject to inundation. Flooding increases moisture contents, which weakens most pavement materials. Although the effect of moisture on the mechanical properties of most pavement materials is reversible, the structural damage caused by trafficking applied on the weakened pavement structure is not. The critical time for structural damage is typically after the flood and before “life-line” pavements have dried back when trucks are bringing in relief supplies and hauling out demolition. This fact, together with the increased occurrence of extreme weather events and sea level rise resulting from climate change, emphasizes the need to better understand the impacts of flooding on identified life-line pavements. This paper evaluates the flooding resiliency of thin concrete overlay on asphalt (COA) pavements by studying the effects that water saturation produces on the pavement structure. The research is based on the structural response and distresses measured in five thin COA sections that were instrumented with sensors and tested with a heavy vehicle simulator (HVS) under flooded conditions. The research shows that the flooding did not produce a noticeable change in the structural capacity of the COA, based on the structural response measured under the loading of the HVS wheel and the falling weight deflectometer, but did result in some structural damage to the asphalt base in some of the sections.

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