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1.
    
This study presents a revised approach to conceptualising and analysing data from the traffic speed deflectometer (TSD) which enables full deflection bowl predictions. The approach was successfully applied to TSD surface velocity measurements collected at seven test sites as part of recent Australian trials. More than 1500 deflection bowls produced from the TSD data were validated against approximately 600 40- and 50-kN falling weight deflectometer (FWD) deflection bowl profiles. Overall, the results showed a clear correlation between the shape and magnitude of deflection bowls predicted by both methods. Estimates of maximum deflection (d 0) and structural curvature index (SCI300) from both methods were also compared, showing a strong correlation. The results suggest that the TSD device has significant potential to be used to collect measurements of pavement deflection bowls at highway speeds which are comparable with FWD deflection bowl measurements.  相似文献   

2.
    
A fundamental aspect in a pavement management system is the evaluation of the pavement structural condition and its capability in supporting the designated traffic. The nondestructive technique of the falling weight deflectometer and the layered elastic model are commonly used to identify pavement structural condition. The approach in this article is mechanistic–empirical, with the intent to correlate the strain at the bottom of the asphalt layer with the number of coverages to failure. Strains were computed through mathematical approximation of the deflection basin measured at failure. The proposed asphalt criterion showed the same trend of the subgrade strain criterion developed in conjunction with the reformulation of the California bearing ratio (CBR)-Beta design criteria. The approach provided encouraging results when compared with the other analyses in the development of the CBR-Beta criteria. The database was from the full-scale flexible pavement testing at the US Army Engineer Research and Development Center in Vicksburg, MS, USA.  相似文献   

3.
    
This paper discusses the variability of in-situ physical and mechanistic characteristics of three construction projects using non-destructive test (NDT). Six sites from each project in the state of Louisiana were selected. Three NDT tests – falling weight deflectometer (FWD), light falling weight deflectometer (LFWD) and pavement quality indicator (PQI) – were carried out during and after construction. The deflection data from FWD and LFWD were utilised to backcalculate in-situ layer moduli and composite moduli, respectively. ELMOD and MICHBACK backcalculation softwares were used to calculate and compare the hot mix asphalt (HMA) layer moduli. The in-situ density of the HMA layer was obtained from the PQI device. Project variability in the in-situ measurements of the HMA layer was attributed to HMA layer thickness, temperature and seasonal variations. It was found that there was a good relationship between the HMA composite moduli calculated using the FWD deflection and Bossinesq's equation and moduli from the LFWD. The results also indicated that there was no strong relationship between the in-situ moduli and in-situ PQI voids.  相似文献   

4.
    
ABSTRACT

In this study, the effect produced by pavement temperature change on asphalt pavement deflection basin form factor was studied. To determine the correlation between temperature and deflection basin factors of asphalt pavement, deflection tests were carried out on three roads with various thicknesses at different temperatures in one-year cycle. The air temperature and pavement temperature at different depths of the pavement were also measured during falling weight deflectometer testing. First, based on the experimental results and also by taking into account the difference between heating and cooling cycles of the air, a temperature model of asphalt pavement was developed to determine the pavement temperature. Then the relationship between the maximum deflection value and pavement temperature as well as the temperature correction relations was established through regression analysis. Finally, the relationship between the other deflection basin form factors and the pavement temperature was analysed. The results demonstrate that the pavement temperature prediction model is simple yet highly accurate, indicating the inherent correlation between the deflection basin correction factors and pavement temperature. The temperature correction relations of deflection basin factors built in this study are accurate and reasonable, which would be helpful for quality testing and modulus back-calculation of asphalt pavement.  相似文献   

5.
    
A research focusing on the characterisation of representative local material properties was conducted to facilitate the full implementation of the Mechanistic-Empirical Pavement Design Guide for roadway designs in Wyoming. As part of the test program, falling weight deflectometer deflection data were collected from 25 test sites in Wyoming for back-calculation of subgrade resilient modulus. Also, subgrade materials from these test sites were sampled for laboratory resilient modulus measurement in accordance with the AASHTO T 307. The back-calculation is a user-dependent procedure and produces a non-unique resilient modulus estimation. To alleviate this limitation, this paper focuses on the recent development of a systematic back-calculation protocol for subgrade resilient modulus using MODCOMP6 software. The protocol is intended for use on a flexible pavement with a crushed base. The proposed procedure discusses pre-analysis checks, seed modulus adjustment, pavement structure adjustment and program termination criteria. A correlation study was conducted to correct back-calculated resilient modulus to laboratory-equivalent values. The results conclude that a non-zero intercept linear regression model provides a better correlation than the widely used zero intercept linear regression model. Furthermore, better correlations are achieved when the back-calculated resilient modulus of a lower subgrade layer and resilient modulus measured at higher laboratory test sequences Nos. 11 to 15 are considered. The non-zero model based on Mr test sequence No. 14 and lower subgrade layer yields the best correlation. For the zero model, a C-factor of 0.645 based on Mr test sequence No. 15 and lower subgrade layer yields the best correlation.  相似文献   

6.
    
Abstract

Selection of optimal treatment strategy for a cracked asphalt pavement requires efficient evaluation of cracking. Pavement cracking severity was usually evaluated just by crack width in the past. In this paper, a novel method for extracting both crack type and crack width information in asphalt pavement with chemically stabilised base course from falling weight deflectometer (FWD) test data based on k-nearest neighbour (k-NN) pattern recognition was put forward. FWD field tests and core drilling tests were conducted at cracks on four typical expressways and a database with 215 deflection basins was established. Three feature sets were selected or extracted from each deflection basin as inputs. And, cracks were categorised into six classes based on crack type and crack width as target outputs. Results indicated that most cracks with high width level were thermal cracks and it was of great importance to consider both crack type and width in cracking evaluation in asphalt pavement with chemically stabilised base. Considering the classification accuracy and the convenience of test, crack was advised to be located between sensor S300 and sensor S600 in FWD field test. Deflection ratio feature set was recommended as inputs of the k-NN classifier.  相似文献   

7.
    
Appropriate characterisation of individual layer properties is crucial for mechanistic analysis of flexible pavements. Typically in inverse analyses, pavements are modelled as elastic or nonlinear elastic to obtain layer material properties through non-destructive falling weight deflectometer (FWD) testing. In this study, a layered viscoelastic–nonlinear forward model (called LAVAN) was used to develop a genetic algorithm-based backcalculation scheme (called BACKLAVAN). The LAVAN can consider both the viscoelastic behaviour of asphalt concrete (AC) layer and nonlinear elastic behaviour of unbound layers. The BACKLAVAN algorithm uses FWD load-response history at different test temperatures to backcalculate both the (damaged) E(t) and |E*| master curve of AC layers and the linear and nonlinear elastic moduli of unbound layers of in-service pavements. The BACKLAVAN algorithm was validated using two FWD tests run on a long-term pavement performance section. Comparison between the backcalculated and measured results indicates that it should be possible to infer linear viscoelastic properties of AC layer as well as nonlinear elastic properties of unbound layers from FWD tests.  相似文献   

8.
    
This paper presents the statistical analysis results for correlating the stiffness characteristics of subgrade with subgrade soil properties using the long-term pavement performance database in the USA. The stiffness of subgrade soils was characterised by the falling weight deflectometer deflection basin parameters and subgrade modulus calculated using the backcalculation technique. For the statistical approach, both linear fixed- and mixed-effects models were applied to estimate the correlation between subgrade stiffness and soil properties. It is found from this study that the base curvature index and subgrade modulus are highly correlated with subgrade soil properties and variation of water content. The results also indicate that the mixed-effect model can accurately estimate the stiffness of subgrade soils using the soil properties and water content. Region-specific factors considered as the sources of random effects in the mixed-effects model can help to improve the degree of correlation.  相似文献   

9.
Pavement widening can increase roadway capacity and improve safety, but results in a longitudinal joint between the existing and widened section that is susceptible to longitudinal pavement cracking. Previous research on construction methods focused on the pavement layer but this research looks at the effects of joint type on the base layer. Two base widening joint types, vertical and tapered, are commonly implemented by the Wyoming Department of Transportation. The objective of this study is to determine the most suitable base widening technique for durable pavement sections resistant to longitudinal cracking along the joint line. Field and laboratory evaluations were carried out on 28 existing pavement widening projects to determine the strength of the base layer as well as the occurrence and severity of longitudinal cracking. Results indicate that the tapered joint type has better strength in terms of the Dynamic Cone Penetrometer and Falling Weight Deflectometer analyses, less longitudinal cracking, and lower cost.  相似文献   

10.
    
Structural evaluation provides valuable information about the expected behaviour and response of pavements and can be used at the network level of pavement management to prioritise projects. The falling weight deflectometer (FWD) can be used to identify the beginning and end of management sections and group pavement sections with similar structural capacities. The structural condition index (SCI) was developed as a screening tool for the pavement network-level evaluation, and the FWD data are used to determine the SCI. For the successful implementation of the SCI concept at the network level, one of the critical issues is the accuracy of the index. This article evaluates the accuracy of the SCI and also discusses a concept and procedure how to improve the SCI and its algorithm for low-volume flexible pavements. A case study (Texas) illustrates that the original SCI algorithm underestimates the existing structural condition, resulting in overestimated treatments in the pavement maintenance and rehabilitation.  相似文献   

11.
    
This paper describes in situ measurement results and analysis of a deteriorating jointed concrete pavement supported on open-graded aggregate subbase that was subsequently treated with high-density polyurethane foam. The foam was injected under pressure into the subbase to improve support conditions, mitigate faulting and improve load transfer efficiency (LTE) at the joints. A variety of in situ tests were conducted to evaluate ride quality, pavement deflections under dynamic loading, LTE at joints and cracks, pavement surface elevation changes, and drainage and stiffness of the treated subbase layer. Testing on the pavement surface indicated statistically significant improvements near cracks after treatment with reduced peak deflections and higher LTE, but the pavement ride quality measurements did not show improvement. Tests performed on the foundation layer indicated that the construction process resulted in concentrated zones of foam in the subbase with low permeability, low stiffness and high shear strength, compared with untreated areas.  相似文献   

12.
In perpetual pavements, damage from bottom-up cracking can be limited to the top surface lift through using a very thick surface layer or a binder-rich intermediate layer. This can be attained by maintaining tensile strains at the bottom of the hot-mix asphalt (HMA) layer below a certain value known as the fatigue endurance limit (FEL). This paper presents a method for estimating a strain-based FEL for flexible airfield pavements. The proposed method is based on the concept that a 50% reduction in HMA layer modulus would indicate initiation of fatigue cracking. Falling weight deflectometer (FWD) testing results, collected from National Airport Pavement Test Facility (NAPTF) flexible pavement sections, were analyzed to determine at which loading pass each section had a 50% reduction in HMA layer modulus (Nf50). NAPTF tensile strain data were also used to determine the tensile strain at Nf50 for each pavement section by averaging the peak tensile strains. The proposed approach was validated by comparing its results to those obtained using a common FEL estimation model known as the rate of dissipated energy change (RDEC) model. To further verify the results of the proposed approach, peak tensile strain was plotted vs. number of loading cycles for all sensors. Using these plots, the peak tensile strain at which the variability in the strain gauge data increased was used as an estimate of a possible FEL. The Nf50 tensile strains estimated using the proposed method were comparable to the values determined from RDEC and variability approaches.  相似文献   

13.
    
A well-planned rehabilitation approach helps agencies to optimise the allocation of annual investment in pavement rehabilitation programs. Currently, many agencies are struggling with the selection of an optimal time-based and cost-effective rehabilitation solution to address the long-term needs of pavements. This study offers the use of a mechanistic-empirical methodology to develop a series of time-based rehabilitation strategies for high traffic volume flexible pavements located in Oklahoma. Six different pavement family groups are identified in the state, and comprehensive evaluation of existing pavements are conducted through analysis of falling weight deflectometer data and performance measures available in Oklahoma Pavement Management System database. The inadequacy of performance measures to fully characterise the condition of existing pavements are indicated, and damage factor determined from FWD data are suggested as trigger factor to select rehabilitation candidates. Three levels of rehabilitation activities including light, medium and heavy are considered as potential alternatives for rehabilitation candidates. A mechanistic-empirical methodology is employed to obtain an estimate of the performance of rehabilitation and extension in service lives of pavements. Also, an assessment output matrix is developed, which can be served as a supplemental tool to help the decision-makers in the highway agency with the rehabilitation related decision-making process. Cost-effectiveness of rehabilitation alternatives is determined through life cycle cost analysis, and three time-based renewal solutions are developed for pavement family groups that are in need of rehabilitation.  相似文献   

14.
The backcalculation procedure applied to a mechanical characterization of the road pavement is usually limited to an identification of the elastic modulus of each layer only. The remaining parameters of the model are usually set as known, while performing an inverse analysis. Among assumed parameters are thicknesses of the model layers and frequently considered as constants on a homogeneous section of the road. This is an obvious simplification, because sections in general are inhomogeneous, i.e. the thickness of each layer changes slightly along each road section. Thus the precise and possibly nondestructive estimation of the layers thicknesses is very important and crucial in the inverse procedure. Here, a hybrid form of the optimization algorithm, where the condition of a constant thickness does not need to be fulfilled is described. Further on, the objective function is formed as a discrepancy between reference and computed deflection derivative instead of a deflection curve. In consequence, the values of backcalculated parameters are several per cent more precise compared to a standard procedure. Whenever the thickness of the asphalt layer of the pavement structure cannot be assumed a priori as a constant, the proposed here method appears to be necessary if one does not want to perform costly and destructive in situ drilling tests.  相似文献   

15.
    
Experimental investigations into the structural behaviours of different thicknesses of plastic cell-filled concrete block pavement (PCCBP) over 100-mm thick water bound macadam sub-base course are presented. In this study, an attempt has been made to use waste stone dust in place of the traditional river sand as fine aggregates in concrete. Layer elastic moduli of different layers of PCCBP have been calculated using linear elastic theory-based backcalculation computer code BACKGA from the surface deflection data obtained through falling weight deflectometer. It has been observed that peak surface deflections decreased linearly with increasing PCCBP thickness; with 200% increase (from 50 to 150 mm) in thickness, a decrease of ∼48% in deflection was observed. Elastic layer modulus of PCCBP has been seen to increase linearly with increasing thickness (∼83% increase in elastic modulus was observed for 200% increase in thickness, with layer modulus value of ∼1995 MPa for 50-mm thick PCCBP). Furthermore, life cycle cost analysis showed that PCCBP is more economical than conventional pavements.  相似文献   

16.
    
A fundamental study of a dynamic modulus for asphalt pavements was conducted using experimental tests and numerical simulations. The emphasis was on the loading frequency–vehicle speed relationships directly caused by the test results of vertical compressive stress pulse durations along the depth. A framework for determining the dynamic modulus is proposed based on the dynamic effects. It is shown that the proposed dynamic modulus is capable of predicting the asphalt pavement behaviour with varying vehicle speeds. The converting factor that can estimate the in situ dynamic modulus from the undamaged dynamic modulus is also proposed using a falling weight deflectometer modulus. Through comparisons with case histories, the maximum relative error of longitudinal strain is 50.4% with an undamaged dynamic modulus and 10.5% with an in situ dynamic modulus. The proposed methods with a converting factor are in agreement with the general trend observed by in situ measurements along the vehicle speeds.  相似文献   

17.
粘弹性地基上多块板的动力时域反分析方法   总被引:3,自引:1,他引:3  
本文针对具有接缝传荷的多块板动力反问题,提出一种在时域内解决的方法。首先 应用有限元方法对多块板进行离散,并将地基简化为由弹簧和阻尼器组成的粘弹性地基,成 功地分析了粘弹性地基上多块板的动力问题[5].进而根据系统识别方法,对落锤式弯沉仪(FWD) 传感器所记录的时程曲线进行反演分析来确定结构参数。数值计算结果表明,该方法具有较 好的稳定性和收敛性。可以广泛应用于以落锤式弯沉仪(FWD)为检测工具的混凝土路面上, 从而为进一步研究刚性路面的无损检测和承载力评价提供了技术基础。  相似文献   

18.
    
Abstract

Asphalt pavements suffer from field aging that accelerates distresses and reduces service life of pavements under the complex in-service environment. The majority of the current methods to study aging are performed in an indirect manner, designed in the laboratory to simulate the field. This study targets the field pavement aging directly and aims at characterising and predicting field aging using the kinetics-based modelling, which contains the field mixture moduli and field aging temperatures. The Falling Weight Deflectometer (FWD) data from the Long-Term Pavement Performance (LTPP) database are employed to provide the field moduli of asphalt mixtures over a long aging period. A pavement temperature model that considers solar radiation, air temperature and wind speed is utilised to determine the temperature fluctuations over the entire aging period and then appropriate field aging temperatures. Eight pavement sections from the four different climate zones are selected and the modulus, temperature, mixture property and climate data are collected. For each pavement section, the rheological properties are first determined to characterise the temperature-dependency of field asphalt mixtures. Then based on the kinetics-based aging prediction models for asphalt pavements, the aging properties are determined to characterise and predict aging of field asphalt mixtures. In the determination of aging properties, it is critical to divide the modulus vs. aging time curve into different segments according to the features of the constant-rate period and fast-rate period. The proposed approaches are validated by comparing the predicted moduli at specified ages to the field measurements by the FWD. It is expected that with more calibration and validation work accomplished in the future, the number of FWD measurements required for nondestructive evaluations could be reduced with the aid of the approaches proposed in this study.  相似文献   

19.
    
The need to rapidly and cost-effectively evaluate the present condition of pavement infrastructure is a critical issue concerning the deterioration of ageing transportation infrastructure all around the world. Nondestructive testing (NDT) and evaluation methods are well-suited for characterising materials and determining structural integrity of pavement systems. The falling weight deflectometer (FWD) is a NDT equipment used to assess the structural condition of highway and airfield pavement systems and to determine the moduli of pavement layers. This involves static or dynamic inverse analysis (referred to as backcalculation) of FWD deflection profiles in the pavement surface under a simulated truck load. The main objective of this study was to employ biologically inspired computational systems to develop robust pavement layer moduli backcalculation algorithms that can tolerate noise or inaccuracies in the FWD deflection data collected in the field. Artificial neural systems, also known as artificial neural networks (ANNs), are valuable computational intelligence tools that are increasingly being used to solve resource-intensive complex engineering problems. Unlike the linear elastic layered theory commonly used in pavement layer backcalculation, non-linear unbound aggregate base and subgrade soil response models were used in an axisymmetric finite element structural analysis programme to generate synthetic database for training and testing the ANN models. In order to develop more robust networks that can tolerate the noisy or inaccurate pavement deflection patterns in the NDT data, several network architectures were trained with varying levels of noise in them. The trained ANN models were capable of rapidly predicting the pavement layer moduli and critical pavement responses (tensile strains at the bottom of the asphalt concrete layer, compressive strains on top of the subgrade layer and the deviator stresses on top of the subgrade layer), and also pavement surface deflections with very low average errors comparable with those obtained directly from the finite element analyses.  相似文献   

20.
    
The pavement layered structures are composed of surface layer, road base and multi-layered soil foundation. They can be undermined over time by repeated vehicle loads. In this study, a hybrid numerical method which can evaluate the displacement responses of pavement structures under dynamic falling weight deflectometer (FWD) loads. The proposed method consists of two parts: (a) the dynamic stiffness matrices of the points at the surface in the frequency domain which is based on the domain-transformation and dual vector form equation, and (b) interpolates the dynamic stiffness matrices by a continues rational function of frequency. The mixed variables formulation (MVF) can treat multiple degree of freedom systems with considering the coupling term between degree of freedoms. The accuracy of the developed method has been demonstrated by comparison between the proposed method and published results from the other method. Then the proposed method can be applied as a forward calculation technique to emulate the falling weight deflectometer test for multi-layered pavement structures.  相似文献   

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