Research Group

Soil Mechanics at Luleå University of Technology

Soil Mechanics

Research is going on in the following areas:

Methods to increase the comfort and availability of gravel roads - Mine tailing dams design and construction short and long term function - New deposition technique for finely grounded waste rock - Use of scrap tyres in earth work application - Environmental assessment of the use of industrial by products - Mechanical properties of sulphide rich soils - Environmental impact of fills of sulphide rich soils - Mechanical behaviour of pellets (LKAB) - Swedish Hydropowert Center - Inner erosion of dams - Stability of tailings dams - Mechanical properties of snow

Franska journalister Photo: Richard Renberg

French journalists visited the university

Today the Luleå University of Technology was visited by journalists from some of France's largest daily newspapers. They were invited to report on the world-unique green initiatives currently being implemented in northern Sweden.

13:00 11 Apr

MATLAB workshop

A1545, Luleå

Competence center in road engineering

The Swedish Transport Administration has decided to finance a new competence center in road engineering with almost half a billion SEK over twelve years, during the period 2023 to 2034, with an annual budget of up to 40 million SEK per year.

Geotechnical testing

Jan Laue Professor and Head of Subject, Head of Division

Luleå University of Technology

Research subject: Soil Mechanics

Division: Mining and Geotechnical Engineering

Department of Civil, Environmental and Natural Resources Engineering

jan.laue@ltu.se

+46 (0)920 491288

Room: T3308 - Luleå

Article in journal

2023

Analyzing the seismic attributes, structural and petrophysical analyses of the Lower Goru Formation: A case study from Middle Indus Basin Pakistan

Tounkara. F, Ehsan. M, Nasar Iqbal. M, Al-Ansari. N, Hajana. M, Shafi. A, et al.

Frontiers in Earth Science, Vol. 10

Article in journal

2023

Application of ANFIS, ELM, and ANN models to assess water productivity indicators based on agronomic techniques in the Lake Urmia Basin

Emami. S, Dehghanisanij. H, Achite. M, Al-Ansari. N, Linh. N

Applied water science, Vol. 13, nr. 2

Article in journal

2023

Assessing the Benefits of Nature-Inspired Algorithms for the Parameterization of ANN in the Prediction of Water Demand

Zubaidi. S, Al-Bdairi. N, Ortega-Martorell. S, Ridha. H, Al-Ansari. N, Al-Bugharbee. H, et al.

Journal of water resources planning and management, Vol. 149, nr. 1

Find more in the publications portal

Published:9 January 2014

Updated: 8 December 2022

By:Richard Renberg

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