Correlation of Non-Destructive Pavement Test Devices

2014 ◽  
Vol 912-914 ◽  
pp. 613-616
Author(s):  
Sheng Chun Li
Keyword(s):  
Field Measurements ◽  
Falling Weight Deflectometer ◽  
Pavement Rehabilitation ◽  
Ningxia Hui Autonomous Region ◽  
Aashto 1993 ◽  
Falling Weight ◽  
Near Future ◽  
The Relationship ◽  
Non Destructive ◽  
Rehabilitation Strategy

This paper studies the correlation of non-destructive pavement test devices, the falling weight deflectometer (FWD) and Benkelman Beam (BB), in evaluation of pavement structure capacity. Field measurements were made at an expansion highwayG6 in Ningxia Hui Autonomous Region, China. Based on the deflection results measured with FWD and BB, the relationship between FWD and BB was established. The subgrade moduli of the test section were back-calculated. The results show that the ratio of E(sta) and MR(dyn) is consistent with the suggestion of AASHTO 1993. Due to the fact that the use of FWD test is convenient and the results are stable, it demonstrates that the falling weight deflectometer (FWD) is an appropriate device to evaluate the pavement structural and to select the optimal pavement rehabilitation strategy in the near future.

Influence of Cracking Damage on Deflection Basin Test Data of FWD

2014 ◽  
Vol 620 ◽  
pp. 55-60 ◽  
Author(s):  
Xin Qiu ◽  
Xiao Hua Luo ◽  
Qing Yang
Keyword(s):  
Probabilistic Approach ◽  
Asphalt Pavements ◽  
Falling Weight Deflectometer ◽  
Layer System ◽  
Linear Elastic ◽  
Distribution Features ◽  
Pavement Structures ◽  
And Performance ◽  
Falling Weight ◽  
Non Destructive

With the popularization of falling weight deflectometer (FWD) to calculate the stiffness related parameters of the pavement structures, non-destructive evaluation of physical properties and performance of pavements has taken a new direction. FWD backcalculation is mathematically an inverse problem that could be solved either by deterministic or by probabilistic approach. A review of the currently used backcalculation procedures indicates that the calculation is generally based on a homogeneous, continuous, and linear elastic multi-layer system. Identifying effective data of dynamic deflection basins seems to be an important task for performing modulus backcalculation. Therefore, the main objective of this paper was to discuss the distribution features of dynamic deflection basins of asphalt pavements with crack distresses, and present the reasonable criteria to filter the testing data of FWD deflection basins. Finally, the study aims to validate the established criteria by conducting in-situ case study.

scholarly journals Perbandingan Analisa Perkerasan Metode Bina Marga Revisi Juni 2017 dan AASHTO 1993 (Studi Kasus pada Pekerjaan Rencana Preservasi Ruas Jalan Jatibarang-Langut TA 2017) (Hal. 60-71)

2018 ◽  
Vol 4 (3) ◽  
pp. 60
Author(s):  
Sony Sumarsono ◽  
Heru Judi H. Gultom
Keyword(s):  
Secondary Data ◽  
Primary Data ◽  
Falling Weight Deflectometer ◽  
Calculation Results ◽  
The One ◽  
Capacity Data ◽  
National Road ◽  
Aashto 1993 ◽  
Falling Weight ◽  
Pavement Thickness

ABSTRAKJalan raya merupakan salah satu prasarana transportasi di Indonesia yang sering digunakan untuk menunjang kegiatan perekonomian khususnya pada jalan nasional. Namun, seringkali di jalan nasional terdapat kerusakan-kerusakan pada perkerasan jalan yang membuat kenyamanan pengendara terganggu. Salah satu ruas jalan nasional tersebut adalah jalan Jatibarang-Langut yang berada di jalur Pantura Jawa Barat. Pengujian yang dilakukan untuk mengetahui penyebab kerusakan perkerasan jalan tersebut yaitu survei traffic counting dan pengujian lendutan dengan alat Falling Weight Deflectometer (FWD) yang dalam perencanaan perhitungan tebal perkerasan akan dibandingkan menggunakan metode Bina Marga Revisi Juni 2017 dan AASHTO 1993. Data sekunder yang diperlukan adalah data daya dukung tanah dasar. Data primer yang diperoleh yaitu volume lalu lintas dan pengujian lendutan. Hasil perhitungan modulus tanah dasar 34,34 MPa dan modulus perkerasan 1.806,80 MPa. Sedangkan hasil perhitungan tebal perkerasan dengan CESA metode Bina Marga Revisi Juni 2017 47,42 cm dan CESA AASHTO 1993 38,74 cm.Kata kunci: Jatibarang-Langut, survei traffic counting, Falling Weight Deflectometer (FWD), Bina Marga Revisi Juni 2017, AASHTO 1993. ABSTRACTThe highway is one of the transportastion infrastructure in Indonesia which is often used to support economy activities especially on national road. However, often on the national road there are damages on pavement that makes disturbed rider’s comfort. The one of the national road segment is road Jatibarang-Langut located on the path Pantura, west Java. The testing done determine the cause of the pavement damege is survey traffic counting and deflection testing with Falling Weight Deflectometer (FWD) in planning pavement thickness calculation will be compared by using Bina Marga method Revision June 2017 and AASHTO 1993. The secondary data required is ground carrying capacity data. The primary data required os traffic volume and deflection testing. The calculation results of the basic soil modulus 34,34 MPa and pavement modulus 1.806,80 MPa. While the results of pavement thickness calculation by CESA method Bina Marga Revision June 2017 47,42 cm dand CESA AASHTO 1993 38,74 cm.Keywords: Jatibarang-Langut, survey traffic counting, Falling Weight Deflectometer (FWD), Bina Marga Revision June 2017, AASHTO 1993.

Pavement displacement sensitivity to layer moduli

2002 ◽  
Vol 39 (6) ◽  
pp. 1395-1398
Author(s):  
Dieter Stolle
Keyword(s):  
Finite Element ◽  
Surface Displacement ◽  
Falling Weight Deflectometer ◽  
Contribution Ratio ◽  
Displacement Sensitivity ◽  
Stiffness Characteristics ◽  
Element Technique ◽  
Falling Weight ◽  
The Relationship ◽  
Displacement Measurements

The backcalculation of layer moduli using falling weight deflectometer data has proven to be challenging owing to the insensitivity of displacement measurements to the stiffness characteristics of some layers. This note describes a rigorous, yet simple, finite element technique for identifying the relationship between surface displacement and the elastic modulus of each layer. An example is given to demonstrate the application of the procedure.Key words: pavements, subgrade, backcalculation, contribution ratio.

scholarly journals Relationship between deformation moduli obtained using light falling weight deflectometer and static plate test on various types of soil

2014 ◽  
Vol 9 (4) ◽  
pp. 251-259 ◽  
Author(s):  
Karel Pospisil ◽  
Petr Zednik ◽  
Josef Stryk
Keyword(s):  
Test Methods ◽  
Falling Weight Deflectometer ◽  
Loading Test ◽  
Plate Test ◽  
Plate Loading Test ◽  
Static Modulus ◽  
Different Types ◽  
Falling Weight ◽  
The Relationship ◽  
Plate Loading

There is increasing effort to optimize test methods for evaluation of subgrade. It takes effect in aspiration in replacement of static plate loading test by other faster test methods. One of them is the use of Light Falling Weight Deflectometer. In many countries in Europe both static and dynamic plate tests are standardized. The presented paper introduces results of the research project dealing with the sensitivity of the relationship between static modulus and modulus obtained from the Light Falling Weight Deflectometer on specific types of soil. It is shown that there are significant differences in relationship between moduli values obtained using both methods on different types of soil.

Non-destructive and effective bridge monitoring through fast-falling weight deflectometer

2021 ◽  
Author(s):  
Mario Lucio Puppio ◽  
Fausto Mistretta ◽  
Mauro Coni ◽  
Mauro Sassu
Keyword(s):  
Large Scale ◽  
Low Cost ◽  
Dynamic Force ◽  
Falling Weight Deflectometer ◽  
The Road ◽  
New Applications ◽  
Falling Weight ◽  
Soil Instability ◽  
Climate Events ◽  
Non Destructive

<p>Recent collapses due to hydrogeological soil instability caused by extreme climate events recall the attention on a large-scale monitoring of the road infrastructures, particularly bridges and viaducts. Several studies focus the attention on both hydraulic and structural issues. In-depth systematic investigations do not suit this purpose because of time and cost investments usually carried out from local authorities. Increasing needs of available fast, low cost and reliable methods to investigate the performance of the road and bridges pushed towards new applications. The use of Fast-Falling Weight Deflectometer, conceived for airport pavements, is here applied as a non-destructive test to evaluate the stiffness of the deck and embankment of a bridge. The- Fast Falling Weight Deflectometer can produce a broadband, constant and replicable dynamic force, providing data in real time. An experimental campaign is here described on a case study of single span bridge.</p>

Static and Dynamic Backcalculation Analyses of an Inverted Pavement Structure

2013 ◽  
Vol 723 ◽  
pp. 196-203 ◽  
Author(s):  
James Maina ◽  
Wynand JvdM Steyn ◽  
Emile B. van Wyk ◽  
Frans le Roux
Keyword(s):  
South African ◽  
Maintenance Strategy ◽  
Falling Weight Deflectometer ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Back Calculation ◽  
The Difference ◽  
Falling Weight ◽  
Non Destructive ◽  
Crucial Part

A crucial part of any maintenance strategy is an intricate understanding of the material characteristics of the pavement, so that the current level of damage may be accurately assessed and an appropriate plan implemented. Advances in the precision to which these parameters can be determined, as well as improvements in how these results are interpreted under varying conditions of measurement and analysis, are essential in the effective execution of a maintenance strategy. Results from Falling Weight Deflectometer (FWD), which is a Non-Destructive Testing (NDT) device, can be used to predict elastic modulus of any layer by comparing measured deflection data to calculated values through an iterative process referred to as back-calculation. This paper presents a comparison between static and dynamic back-calculation procedures, specifically with regard to typical South African inverted pavements. The analysis indicates a dynamic analysis provides results of greater accuracy than a static analysis, although the effect of the difference requires further investigation.

Assessing the Precision of Falling Weight Deflectometer for Field Measurements

2006 ◽  
Vol 3 (3) ◽  
pp. 14205
Author(s):  
SW Dean ◽  
B Choubane ◽  
S Gokhale ◽  
N Mike Jackson ◽  
A Nazef
Keyword(s):  
Field Measurements ◽  
Falling Weight Deflectometer ◽  
Falling Weight

scholarly journals PREDICTION OF DEPTH TEMPERATURE OF ASPHALT LAYERS IN HOT CLIMATE AREA

2018 ◽  
Vol 24 (7) ◽  
pp. 516-525 ◽  
Author(s):  
Nader Solatifar ◽  
Mojtaba Abbasghorbani ◽  
Amir Kavussi ◽  
Henrikas Sivilevičius
Keyword(s):  
Linear Regression Analysis ◽  
Field Measurements ◽  
Falling Weight Deflectometer ◽  
Actual Measurement ◽  
Temperature Variations ◽  
Hot Climate ◽  
Actual Field ◽  
Pavement Temperature ◽  
Falling Weight

In determination of flexible pavement layers moduli using Falling Weight Deflectometer (FWD), the pavement depth temperature should be determined and then the moduli should be corrected into a reference temperature. As direct measurement of pavement temperature is time consuming and is difficult to be determined in trafficked roads, some models are developed to predict temperature of asphalt layers through pavement depth, including BELLS model. The objective of this research is to determine correlation between actual measurement and prediction of temperature variations through asphalt layers with applying BELLS model. Ten new and rehabilitated pavement sites were selected in hot climate regions in Khuzestan and Kerman provinces in southern part of Iran. In typical hot summer days, pavement temperatures were measured at half and at one-third of the depth of asphalt layers and FWD testing were performed. Results indicated that a linear regression analysis of BELLS predicted temperatures versus measured values, provides very good correlation with actual field measurements of temperatures through the asphalt layers. Furthermore, predictions were more precise in rehabilitated pavements rather than in newly constructed pavements. Finally, using multi parametric linear fitting analysis, a new model was developed to accurately predict the temperature of asphalt layers in new pavements.

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