Public-private perception of collaborative infrastructure projects in Nigeria

Adetola, Alaba; Goulding, Jack Steven; Liyanage, Champika Lasanthi

doi:10.1504/ijpm.2013.052471

Cited by 5 publications

(2 citation statements)

References 23 publications

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“…Road failure is prevalent on tropical soils occurring mostly in form of waviness, potholes, rutting and pitting [7]. The causes of pavement failure in South-West Nigeria are somewhat complex in nature and can be attributed to a number of factors which include: faulty design and poor road construction [8][9][10], traffic loadings exceeding design loading [11,12], environmental conditions [13,14], geotechnical state of the soil [15][16][17][18], depth to water table [19] and poor maintenance [20,21]. Failure in road construction may also arise from the acceptance of stereotyped models for tropical soils without putting it into proper context [22].…”

Section: Introductionmentioning

confidence: 99%

Estimating Road Pavement Failure Susceptibility Using a Modified TDRAMS Model in South-Western Nigeria

Ola

Ogunmokun-Akinmolu

Ojuri

et al. 2018

JERA

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The study focused on the model analysis of failure susceptibility for some roads in the South-western part of Nigeria using TDRAMS model along with its modified version. TDRAMS, a model prepared through an analyzed weight-rating system was used to analyze pavement failure manifestation in the present study area and to what possible extent. Different pavement failure causative factors which include: Traffic load {T}, depth of water table {D}, soaked California bearing ratio {R}, cambering{A}, maximum dry density {M}, and asphalt thickness {S} were proposed. Their field data were analyzed and simulations were done to postulate a model for road failure susceptibility. The weights and ratings of the collected field data were also varied/modified to determine its effect on the model. Simulations on the varied weight showed that the most significant parameters were {T}Traffic load and {D}depth of the water table. The optimum weights were discovered to be 32 (81% weight increase) and 23 (78% weight increase) for {T}Traffic load and {D}depth to water table respectively. Simulations on the varied ratings showed that alongside with {R}soaked California bearing ratio [CBR], {T}Traffic load and {D}depth of water table were also the most significant parameters. The roads studied indicated high failure susceptibility when analyzed.

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Section: Introductionmentioning

confidence: 99%

Estimating Road Pavement Failure Susceptibility Using a Modified TDRAMS Model in South-Western Nigeria

Ola

Ogunmokun-Akinmolu

Ojuri

et al. 2018

JERA

View full text Add to dashboard Cite

show abstract

“…In addition, the increased complexity, risk and uncertainty of infrastructure projects sets unprecedented demands on public agencies to provide better and more efficient infrastructure services. It has again reduced the need for a single supplier of many infrastructure services [4]. Hence, to ensure the seamless and efficient operation of basic functions like mobility, communities and societies now see a capable and resourceful service provider network as an essential resource.…”

Section: Introduction and Aimsmentioning

confidence: 99%