Experiment-based estimation of the settlement potential due to dynamic loads from heavy vehicle traffic on the A 44n motorway built on the dump of the Garzweiler opencast mine

2021 ◽  
pp. 100674
Author(s):  
Friedrich C. Levin ◽  
Martin Back ◽  
Stefan Vogt ◽  
Roberto Cudmani
2011 ◽  
Vol 3 (2) ◽  
pp. 103-109 ◽  
Author(s):  
Jurij Sokolov ◽  
Henrikas Sivilevičius

Smoothness is the main feature of road exploitation. It particularly affects movement speed, safety and driving comfort. Evenness of the road belongs of three factors: strength of the pavement construction, heavy vehicle traffic and the impact of the axle mass over it’s term of exploitation. The main negative influence on Lithuanian roads has a overloaded heavy vehicle in excess of the permissible axle load limits. Static and dynamic vehicle weighing equipment and technologies were presented in the article. This article explores overloaded heavy vehicle damage done to Lithuanian roads and its intensity increase. Discuss the basic preventive techniques and methods to prevent the rapid wear of pavements. Also analysis of changes in axial load data through the 2009 August is done.


Throughout construction management, the problem of deciding amongst two types of pavements is almost always illustrated in the construction of paving built for the heavy vehicle traffic -fall under flexible and rigid pavements. This study shows the outputs of road measurements, deliberately designed with a capacity of 2350kN for commercial trucks. Herein, 2 research evaluations have been performed, i.e. 2 alternative approaches for flexible and rigid paving are presented, as well as a summary of findings has been included with building design as well as the estimated costs of renovations


1999 ◽  
Author(s):  
Giuseppe Sammartino ◽  
Farid Amirouche ◽  
Zhen L. Chen ◽  
Ming L. Wang

Abstract Heavy Vehicles speeds and dynamic loads are critical factors to bridge’s structure fatigue and rapid deterioration. The proposed paper addresses the modeling and simulation of dynamic loads of heavy vehicles, such as trucks and buses, on bridges and the effects of their speed on frequency response. In light of the above analysis, this paper proposes a method on how to minimize the structural vibrational of the combined vehicle and bridge system using semi-active suspension control. The vehicle dynamic load is minimized through an optimization scheme to yield an impact force with negligible bridge lateral deflection. The dynamic coupling between the vehicle and bridge are studied by examining the modes that are most likely to be excited by the vehicle speed and the roughness of the bridge surface. The models consist of a bridge and a heavy vehicle. The bridge is modeled as continuos, lightly damped beam with different supports defined by the boundary conditions. The vehicle is a multi-degree of freedom (MDOF) system undergoing motion in one plane. The methods of solution consist of a simple supported beam that closely simulates the first three beam modes of the Kishwaukee Bridge in Rockford, Illinois. The surface of the bridge generates some random excitation that serves as input to the vehicle, this is commonly known as the roughness of the bridge surface. The heavy vehicle is moving from left to right of the simply supported beam. The system is analyzed and optimized by semi-active control algorithms. Close form numerical solution is obtained by a set of second order differential equations for the bridge-vehicle system. Experimental data obtained from the vibration testing of Kishwaukee Bridge (Illinois) were collected and validated with a FEM model. Only the first three beam modes were used due to the experimental limitations and the actual structural condition of the bridge. Using MATLAB a simulation is obtained by inputting the linear time-variant equations and optimizing the system. Simulations of bridge vertical motion under different dynamic load conditions were examined and the results of bridge structure response were analyzed by comparing the effects of passive versus semi-active suspension controls. The method shows effectively how we can reduce the dynamic load force magnitude and its frequency of impact. The latter is usually associated with structural damage caused to the bridge.


2018 ◽  
Vol 4 (2) ◽  
pp. 47
Author(s):  
Mohammad Algi Brilianto ◽  
Silvia Sukirman ◽  
Welly Pradipta

ABSTRAKPerkerasan merupakan salah satu komponen prasarana pada kegiatan logging yang harus didesain agar dapat melayani lalu-lintas kendaraan berat. Metode Austroads 2006 dan Bina Marga 2017 merupakan panduan dalam perencanaan tebal perkerasan jalan logging. Studi kasus untuk penelitian ini dilakukan di Kabupaten Penajam, Kalimantan Timur. Berdasarkan data yang diperoleh dari konsultan perencana, niilai CBR pada ruas jalan rencana dibagi menjadi empat segmen dengan nilai CBR pada segmen 1 = 3%, segmen 2 = 9%, segmen 3 = 29% dan segmen 4 = 9%. Perencanaan dilakukan dengan umur rencana 10 tahun dan tingkat pertumbuhan 3%. Jenis perkerasan yang digunakan untuk kedua metode berupa batu pecah. Hasil perencanaan tebal perkerasan menggunakan metode Austroads 2006 untuk segmen 1 = 480 mm, segmen 2 = 320 mm, segmen 3 = 160 mm dan segmen 4 = 320 mm. Hasil perencanaan tebal perkerasan menggunakan metode Bina Marga 2017 untuk segmen 1 = 480 mm, segmen 2 = 260 mm, segmen 3 = 140 mm dan segmen 4 = 260 mm.Kata kunci: perencanaan tebal perkerasan jalan logging  ABSTRACTPavement is one of the infrastructure components in logging activities that must be designed in order to serve heavy vehicle traffic. Austroads 2006 method and Bina Marga 2017 methodis a guide to design the thickness of logging pavement. Case study for this research was conducted in Penajam District, East Kalimantan. Based on the data obtained from the planner consultant, the CBR value on the road plan is divided into four segments with CBR value in segment 1 = 3%, segment 2 = 9%, segment 3 = 29% and segment 4 = 9%. The planning is done with 10 years and 3% growth rate. Types of pavement used for both methods is granular. The results of pavement thickness planning using Austroads 2006 method for segment 1 = 480 mm, segment 2 = 320 mm, segment 3 = 160 mm and segment 4 = 320 mm. The results of pavement thickness planning using Bina Marga 2017 method for segment 1 = 480 mm, segment 2 = 260 mm, segment 3 = 140 mm and segment 4 = 260 mm.Keywords: thickness design of pavement logging


2019 ◽  
Vol 5 (1) ◽  
Author(s):  
A Commodore ◽  
N Mukherjee ◽  
D Chung ◽  
E Svendsen ◽  
J Vena ◽  
...  

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