Soft Computing Methodology to Determine Pavement Thickness from Falling Weight Deflectometer Testing

2010 ◽  
Author(s):  
O. Pekcan ◽  
E. Tutumluer ◽  
J. Ghaboussi
Keyword(s):  
Soft Computing ◽  
Computing Methodology ◽  
Falling Weight Deflectometer ◽  
Falling Weight ◽  
Pavement Thickness

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.

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.

scholarly journals Propagation of Surface Waves in Asphalt Pavements Generated by Different Load Impulse of Falling Weight Deflectometer

2019 ◽  
Vol 15 (1) ◽  
pp. 29-35
Author(s):  
Jozef Komačka ◽  
IIja Březina
Keyword(s):  
Surface Waves ◽  
Travel Time ◽  
Time History ◽  
Asphalt Pavements ◽  
Load Force ◽  
Falling Weight Deflectometer ◽  
Waves Propagation ◽  
Propagation Of Waves ◽  
Falling Weight ◽  
The Waves

Abstract The propagation of waves generated by load impulse of two FWD types was assessed using test outputs in the form of time history data. The calculated travel time of wave between the receiver in the centre of load and others receivers showed the contradiction with the theory as for the receivers up to 600 (900) mm from the centre of load. Therefore, data collected by the sensors positioned at the distance of 1200 and 1500 mm were used. The influence of load magnitude on the waves propagation was investigated via the different load force with approximately the same load time and vice versa. Expectations relating to the travel time of waves, depending on the differences of load impulse, were not met. The shorter travel time of waves was detected in the case of the lower frequencies. The use of load impulse magnitude as a possible explanation was not successful because opposite tendencies in travel time were noticed.

scholarly journals Measurements of the elastic modulus of pavement subgrade layers using the SASW and FWD test methods

2015 ◽  
Vol 10 (2) ◽  
pp. 174-181 ◽  
Author(s):  
Nur Izzi Md. Yusoff ◽  
Sentot Hardwiyono ◽  
Norfarah Nadia Ismail ◽  
Mohd Raihan Taha ◽  
Sri Atmaja P. Rosyidi ◽  
...  
Keyword(s):  
Spectral Analysis ◽  
Elastic Modulus ◽  
Surface Wave ◽  
Time Lag ◽  
Test Methods ◽  
Pavement Management ◽  
Falling Weight Deflectometer ◽  
Surface Wave Propagation ◽  
Evaluation And Monitoring ◽  
Falling Weight

In pavement management systems, deflection basin tests, such as the Falling Weight Deflectometer test, are common techniques that are widely used, while the surface wave test, i.e. the Spectral Analysis of Surface Wave test, is recently employed as an alternative technique in pavement evaluation and monitoring. In this paper, the performance of both dynamic non-destructive tests on pavement subgrade investigation is presented. Surface wave propagation between a set of receivers was transformed into the frequency domain using the Fast Fourier Transform technique and subsequently a phase spectrum was produced to measure the time lag between receivers. Using the phase difference method, an experimental dispersion curve was generated. Inversion analysis based on the 3-D stiffness matrix method was then performed to produce a shear wave velocity profile. The elastic modulus of pavement layers was calculated based on linear elastic theory. In the Falling Weight Deflectometer test, seven geophones were used to collect in situ deflection data. Based on a back-calculation procedure with the ELMOD software, the elastic modulus of each flexible pavement layer can be obtained. Both techniques are able to comprehensively investigate the elastic modulus of the subgrade layer in existing pavement non-destructively. The elastic modulus between the Spectral Analysis of Surface Wave method and the Falling Weight Deflectometer test on the subgrade layer is observed to be in a good agreement. A correlation of the elastic modulus of thesubgrade layer from both techniques is also presented.

scholarly journals Quantity traceability of falling weight deflectometer

2019 ◽  
Vol 2019 (23) ◽  
pp. 8583-8586
Author(s):  
Na Miao ◽  
Yixu Wang ◽  
Lu Peng ◽  
Lu Liu ◽  
Liwei Lei
Keyword(s):  
Falling Weight Deflectometer ◽  
Falling Weight
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