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Sjölander, Andreas, Ph.DORCID iD iconorcid.org/0000-0001-8375-581X
Publikasjoner (10 av 49) Visa alla publikasjoner
Jansson, A., Sjölander, A., Berrocal, C. G., Rempling, R. & Fernandez, I. (2025). Experimental investigation on prevalent local failure mechanisms in hard rock tunnel linings using distributed optical fibre sensors. Engineering structures, 333, Article ID 120185.
Åpne denne publikasjonen i ny fane eller vindu >>Experimental investigation on prevalent local failure mechanisms in hard rock tunnel linings using distributed optical fibre sensors
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2025 (engelsk)Inngår i: Engineering structures, ISSN 0141-0296, E-ISSN 1873-7323, Vol. 333, artikkel-id 120185Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

In today's hard rock tunnel construction, the most common support system consists of rock bolts and shotcrete linings. The support system is effective to build, and structural safety has empirically been established. However, the utilization rate of shotcrete linings is usually unknown as no method exists today that determines the type and magnitude of loads acting on the linings. This paper investigates the implementation of distributed optical fiber sensors (DOFS) as a promising solution for monitoring of local loads in shotcrete tunnel linings. This approach enables the identification of local loads, facilitating targeted inspections in areas with deviating measurements and allowing for more informed repair and maintenance decisions. In the study, two typical local load conditions in shotcrete linings were analysed using strain measurements from DOFS installed in experimental specimens designed to replicate sections of tunnel linings. The results revealed that the examined load conditions can be distinguished based on the measured strains. While the lining thickness had a significant effect on the peak load capacity, the roughness of the substrate influenced the strain distribution in linings subjected to bending. It was also shown that DOFS outside the loaded area could detect load-induced strains for shear loaded specimens at low load levels, but not for flexurally loaded specimens.

sted, utgiver, år, opplag, sider
Elsevier BV, 2025
Emneord
Distributed optical fibre sensors, Load identification, Shotcrete, Strain patterns, Structural health monitoring
HSV kategori
Identifikatorer
urn:nbn:se:kth:diva-362251 (URN)10.1016/j.engstruct.2025.120185 (DOI)001458739400001 ()2-s2.0-105001232372 (Scopus ID)
Merknad

QC 20250414

Tilgjengelig fra: 2025-04-09 Laget: 2025-04-09 Sist oppdatert: 2025-04-14bibliografisk kontrollert
Sjölander, A., Nordström, E., Hellgren, R. & Ansell, A. (2024). Installation of Large-Scale Load Panels and Measurement of Ice Load on Swedish Dams. In: Tomasz Kolerski (Ed.), : . Paper presented at 27th IAHR International Symposium on Ice, Gdansk, Poland, June 9-13, 2024.
Åpne denne publikasjonen i ny fane eller vindu >>Installation of Large-Scale Load Panels and Measurement of Ice Load on Swedish Dams
2024 (engelsk)Inngår i: / [ed] Tomasz Kolerski, 2024Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Concrete dams in cold regions are designed to resist static loads from the ice sheet forming on the reservoir. Current guidelines suggest design ice loads of 50-250 kN/m based solely on geographical location, overlooking site-specific conditions. For many dams, this constitutes a considerable part of the total horizontal load and could theoretically cause problems with stability, especially for lower dams. However, the knowledge about the actual magnitude of ice loads remains limited, and no stability failure initiated by ice loads has been reported. This paper presents results from ice load measurements using a 1 X 3 m2 load panel installed at two dams in Sweden. The results from ice load measurements are presented alongside external factors such as water level, ambient temperatures, precipitation, and ice thickness, offering a more comprehensive understanding of the variables affecting ice loads on concrete dams. 

Emneord
ice load, measurements, concrete dams, design of load panels, ice pressure
HSV kategori
Forskningsprogram
Byggvetenskap, Betongbyggnad
Identifikatorer
urn:nbn:se:kth:diva-351264 (URN)2-s2.0-85210075812 (Scopus ID)
Konferanse
27th IAHR International Symposium on Ice, Gdansk, Poland, June 9-13, 2024
Prosjekter
Forecasting of ice-loads on concrete dams
Forskningsfinansiär
Energy Research, VKU32027
Merknad

QC 20241211

Tilgjengelig fra: 2024-08-05 Laget: 2024-08-05 Sist oppdatert: 2024-12-11bibliografisk kontrollert
Hernández Vargas, J., Sjölander, A., Westerlind, H. & Silfwerbrand, J. (2024). Internal topology optimisation of 3D printed concrete structures: a method for enhanced performance and material efficiency. Virtual and Physical Prototyping, 19(1)
Åpne denne publikasjonen i ny fane eller vindu >>Internal topology optimisation of 3D printed concrete structures: a method for enhanced performance and material efficiency
2024 (engelsk)Inngår i: Virtual and Physical Prototyping, ISSN 1745-2759, E-ISSN 1745-2767, Vol. 19, nr 1Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Extrusion-based 3D concrete printing (3DCP) is a promising technique for fabricating complex concrete elements without formwork, offering advantages like cost reduction and enhanced design flexibility by decoupling manufacturing costs from part complexity. However, this extended formal freedom is still constrained by the fabrication process and material properties. This paper presents a novel method for applying topology optimisation internally i.e. preserving the external boundaries of the concrete element while reducing material use and weight. This method adapts the extrusion thickness along the part according to the expected stresses, reducing the material use while enhancing structural performance. To validate this method, three different unreinforced 3DCP beams are tested in three-point bending. Results show that beams with optimised material distributions presented a higher strength-to-weight ratio, averaging 47% and 63% compared with the conventional 3D printed beam. This paper demonstrates the potential of internal topology optimisation for improving the efficiency and sustainability of 3DCP.

sted, utgiver, år, opplag, sider
Informa UK Limited, 2024
Emneord
3D concrete printing, additive manufacturing, optimised concrete, robotic fabrication
HSV kategori
Forskningsprogram
Byggvetenskap, Betongbyggnad; Byggvetenskap, Byggnadsteknik
Identifikatorer
urn:nbn:se:kth:diva-346459 (URN)10.1080/17452759.2024.2346290 (DOI)001216470600001 ()2-s2.0-85192551840 (Scopus ID)
Forskningsfinansiär
Svenska Byggbranschens Utvecklingsfond (SBUF), 13791Vinnova, 2020-00257
Merknad

QC 20240515

This project has received support from Hesselmanska Foundation, the Development Fund of the Swedish Construction Industry (SBUF) 13791, and the strategic innovation program Smart Built Environment (2020-00257), which is part of the strategic innovation areas initiative funded by Vinnova — the Swedish Innovation Agency, Formas — a Swedish Research Council for Sustainable Development and the Swedish Energy Agency. Printable material for 3DCP experiments was supplied by Sika (Sika Sverige AB).

Tilgjengelig fra: 2024-05-15 Laget: 2024-05-15 Sist oppdatert: 2025-03-17bibliografisk kontrollert
Belloni, V., Sjölander, A., Ravanelli, R., Crespi, M. & Nascetti, A. (2023). Crack Monitoring from Motion (CMfM): Crack detection and measurement using cameras with non-fixed positions. Automation in Construction, 156, Article ID 105072.
Åpne denne publikasjonen i ny fane eller vindu >>Crack Monitoring from Motion (CMfM): Crack detection and measurement using cameras with non-fixed positions
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2023 (engelsk)Inngår i: Automation in Construction, ISSN 0926-5805, E-ISSN 1872-7891, Vol. 156, artikkel-id 105072Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The assessment of cracks in civil infrastructures commonly relies on visual inspections carried out at night, resulting in limited inspection time and an increased risk of crack oversight. The Digital Image Correlation (DIC) technique, employed in structural monitoring, requires stationary cameras for image collection, which proves challenging for long-term monitoring. This paper describes the Crack Monitoring from Motion (CMfM) methodology for automatically detecting and measuring cracks using non-fixed cameras, combining Convolutional Neural Networks and photogrammetry. Through evaluation using images obtained from laboratory tests on concrete beams and subsequent comparison with DIC and a pointwise sensor, CMfM demonstrates accurate crack width computation within a few hundredths of a millimetre when compared to the sensor. This method exhibits potential for effectively monitoring temporal crack evolution using non-fixed cameras.

sted, utgiver, år, opplag, sider
Elsevier BV, 2023
Emneord
Crack detection and measurement, Convolutional Neural Networks, Digital Image Correlation, Camera movement, Concrete beam testing, Infrastructure monitoring
HSV kategori
Forskningsprogram
Geodesi och geoinformatik, Geoinformatik; Byggvetenskap, Betongbyggnad
Identifikatorer
urn:nbn:se:kth:diva-336497 (URN)10.1016/j.autcon.2023.105072 (DOI)001077637400001 ()2-s2.0-85172935027 (Scopus ID)
Prosjekter
TACK - Tunnel Automatic CracK Detection
Forskningsfinansiär
Vinnova, InfraSweden2023EU, Horizon 2020, 101012456
Merknad

QC 20230913

Tilgjengelig fra: 2023-09-12 Laget: 2023-09-12 Sist oppdatert: 2025-02-25bibliografisk kontrollert
Sjölander, A., Ansell, A. & Nordström, E. (2023). Effective use of fibres of various types and material for shotcrete in rock support for tunnels.. In: Georgios Anagnostou, Andreas Benardos, Vassilis P. Marinos (Ed.), ITA‐AITES World Tunnel Congress: . Paper presented at World Tunnel Congress, Megaron Athens International Conference Centre (MAICC), 12 – 18 May 2023, Athens, Greece. London: Taylor & Francis Group
Åpne denne publikasjonen i ny fane eller vindu >>Effective use of fibres of various types and material for shotcrete in rock support for tunnels.
2023 (engelsk)Inngår i: ITA‐AITES World Tunnel Congress / [ed] Georgios Anagnostou, Andreas Benardos, Vassilis P. Marinos, London: Taylor & Francis Group, 2023Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Large volumes of steel fibre reinforced shotcrete (sprayed concrete) and steel bolts are commonly used to support tunnels in hard rock. This generates a high CO2-footprint which must be reduced in order to decelerate the continuously increasing average temperature worldwide caused by the emissions of greenhouse gases. Thus, alternative design methods and the possibility to use other materials than steel are currently investigated. Work is ongoing on testing the load-bearing capacity of shotcrete reinforced with fibres of steel, basalt and synthetic materials. This also includes a comparison between tests using Round Determinate Panels (RDP) and four-point bending of beams. Moreover, the practical use of RDP testing as a quality control methodology is also investigated in situ. Here, the goal is to identify several shotcrete mixes suitable for use in tunnelling so that the right material and fibre volume can be used in the right place.

sted, utgiver, år, opplag, sider
London: Taylor & Francis Group, 2023
Emneord
Alternative fibres, experimental testing, Round Determinate Panel, EN 14488-3, CO2 emission, carbon footprint
HSV kategori
Forskningsprogram
Byggvetenskap, Betongbyggnad; Byggvetenskap, Byggnadsmaterial
Identifikatorer
urn:nbn:se:kth:diva-334374 (URN)10.1201/9781003348030 (DOI)
Konferanse
World Tunnel Congress, Megaron Athens International Conference Centre (MAICC), 12 – 18 May 2023, Athens, Greece
Forskningsfinansiär
Swedish Transport Administration
Merknad

Part of ISBN 9781003348030

QC 20230823

Tilgjengelig fra: 2023-08-18 Laget: 2023-08-18 Sist oppdatert: 2023-09-18bibliografisk kontrollert
Sjölander, A., Ansell, A. & Nordström, E. (2023). Effective use of fibres of various types and material for shotcrete in rock support for tunnels. In: Expanding Underground - Knowledge and Passion to Make a Positive Impact on the World- Proceedings of the ITA-AITES World Tunnel Congress, WTC 2023: . Paper presented at ITA-AITES World Tunnel Congress, ITA-AITES WTC 2023 and the 49th General Assembly of the International Tunnelling and Underground Association, 2023, Athens, Greece, May 12 2023 - May 18 2023 (pp. 932-939). Informa UK Limited
Åpne denne publikasjonen i ny fane eller vindu >>Effective use of fibres of various types and material for shotcrete in rock support for tunnels
2023 (engelsk)Inngår i: Expanding Underground - Knowledge and Passion to Make a Positive Impact on the World- Proceedings of the ITA-AITES World Tunnel Congress, WTC 2023, Informa UK Limited , 2023, s. 932-939Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Large volumes of steel fibre reinforced shotcrete (sprayed concrete) and steel bolts are commonly used to support tunnels in hard rock. This generates a high CO2-footprint which must be reduced in order to decelerate the continuously increasing average temperature worldwide caused by the emissions of greenhouse gases. Thus, alternative design methods and the possibility to use other materials than steel are currently investigated. Work is ongoing on testing the load-bearing capacity of shotcrete reinforced with fibres of steel, basalt and synthetic materials. This also includes a comparison between tests using Round Determinate Panels (RDP) and four-point bending of beams. Moreover, the practical use of RDP testing as a quality control methodology is also investigated in situ. Here, the goal is to identify several shotcrete mixes suitable for use in tunnelling so that the right material and fibre volume can be used in the right place.

sted, utgiver, år, opplag, sider
Informa UK Limited, 2023
HSV kategori
Identifikatorer
urn:nbn:se:kth:diva-338645 (URN)10.1201/9781003348030-112 (DOI)001150380201042 ()2-s2.0-85160338140 (Scopus ID)
Konferanse
ITA-AITES World Tunnel Congress, ITA-AITES WTC 2023 and the 49th General Assembly of the International Tunnelling and Underground Association, 2023, Athens, Greece, May 12 2023 - May 18 2023
Merknad

QC 20231023

Tilgjengelig fra: 2023-10-23 Laget: 2023-10-23 Sist oppdatert: 2024-04-08bibliografisk kontrollert
Sjölander, A., Belloni, V., Peterson, V. & Ledin, J. (2023). Experimental dataset to assess the structural performance of cracked reinforced concrete using Digital Image Correlation techniques with fixed and moving cameras. Data in Brief, 51, Article ID 109703.
Åpne denne publikasjonen i ny fane eller vindu >>Experimental dataset to assess the structural performance of cracked reinforced concrete using Digital Image Correlation techniques with fixed and moving cameras
2023 (engelsk)Inngår i: Data in Brief, ISSN 2352-3409, Vol. 51, artikkel-id 109703Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The infrastructure is in many countries aging and continuous maintenance is required to ensure the safety of the structures. For concrete structures, cracks are a part of the structure's life cycle. However, assessing the structural impact of cracks in reinforced concrete is a complex task. The purpose of this paper is to present a dataset that can be used to verify and compare results of the measured crack propagation in concrete with the well-known Digital Image Correlation (DIC) technique and with Crack Monitoring from Motion (CMfM), a novel photogrammetric algorithm that enables high accurate measurements with a non-fixed camera. Moreover, the data can be used to investigate how existing cracks in reinforced concrete could be implemented in a numerical model.

The first potential area to use this dataset is structural engineering. The data can be used to verify non-linear material models used in a finite element (FE) software to simulate the structural response of reinforced concrete. In particular, the data can be used to investigate how existing cracks should be modelled in a FE model. The second potential area is within image processing techniques with a focus on DIC. Until recently, DIC suffered from one major disadvantage; the camera must be fixed during the entire period of data collection. Naturally, this decreases the flexibility and potential of using DIC outside the laboratory. In a recently published paper [1], an innovative photogrammetric algorithm (CMfM) that enables the use of a moving camera, i.e. a camera that is not fixed during data acquisition, was presented. The imagery of this dataset [2] was used to verify the potential of this algorithm and could be used to validate other approach for non-fixed cameras.

The dataset presented in this paper includes data collected from a three-point bending test performed in a laboratory environment on uncracked and pre-cracked reinforced concrete beams. Structural testing was performed using a displacement-controlled set-up, which continuously recorded the force and the vertical displacement of a centric-placed loading piston. First, the response of three uncracked beams was recorded. Thereafter, photos of the resulting cracks were taken, and a detailed mapping was presented. Material properties for the concrete, e.g., compressive strength, are presented together with testing of the tensile capacity of the reinforcement and a compressive test of the soft fiber boards used at the support to ensure good contact between steel and concrete. Then, the structural response of the pre-cracked beams was tested. During this test, four fixed cameras were used to monitor the crack propagation at different locations on the beam. Images are presented at the start of the load sequences and at pre-defined load stops during the testing. Hence, the crack opening captured in the images can be correlated to the force-displacement data. Moreover, a non-fixed camera was used to capture additional imagery at the location of each fixed camera.

sted, utgiver, år, opplag, sider
Elsevier BV, 2023
Emneord
Dataset for DIC and DIC-enhanced measurements of concrete cracks, Modelling of existing cracks in concrete, Dataset for material models of reinforced concrete, FE modelling of existing cracks, Structural assessment of cracked concrete
HSV kategori
Forskningsprogram
Byggvetenskap, Betongbyggnad; Geodesi och geoinformatik, Geoinformatik
Identifikatorer
urn:nbn:se:kth:diva-338759 (URN)10.1016/j.dib.2023.109703 (DOI)001105272000001 ()2-s2.0-85175268040 (Scopus ID)
Prosjekter
TACK - Tunnel Automatic CracK Detection
Forskningsfinansiär
EU, Horizon 2020, 101012456Vinnova, InfraSweden 2030
Merknad

QC 20231101

Tilgjengelig fra: 2023-11-01 Laget: 2023-11-01 Sist oppdatert: 2023-12-11bibliografisk kontrollert
Enzell, J., Ansell, A., Nordström, E., Sjölander, A. & Malm, R. (2023). Modellförsök stärker betongdammars säkerhet. Bygg och Teknik, 115(6)
Åpne denne publikasjonen i ny fane eller vindu >>Modellförsök stärker betongdammars säkerhet
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2023 (svensk)Inngår i: Bygg och Teknik, ISSN 0281-658X, E-ISSN 2002-8350, Vol. 115, nr 6Artikkel i tidsskrift (Annet (populærvitenskap, debatt, mm)) Published
Abstract [sv]

Dammhaverier är mycket ovanliga och därför är kunskapen om brottförloppet vid ett potentiellt dammbrott begränsad. Uppstår brottet utan förvarning, eller finns tidiga tecken på allvarliga problem? Hur utvecklas brottsbräschen under brottförloppet? Detta är frågor som blivit än mer aktuella efter tre internationella dammhaverier under 2023. För att söka svar har en serie skalmodellförsök utförts där haverier av betongdammar simuleras. En viktig parameter vid säkerhetsbedömningen av en betongdamm består i att utvärdera dess stabilitet. Förenklat görs dettag enom att jämföra om dammkroppens vikt är tillräcklig för att stå emot lasten från vattnets tryck. Traditionellt beaktas enbart en mindre del av en betongdamm när dess stabilitet utvärderas men de nya försöken indikerar att det vore eftersträvansvärt att undersöka hela dammen samtidigt eftersom lasten fördelas mellan konstruktionsdelarna. Många betongdammars tillstånd övervakas idag genom automatiska mätningarav till exempel vattenstånd, förskjutningar och grundvattentryck. Dock finns det ingen standardiserad metod för att definiera larmgränser,vilket detta projekt syftar till att utveckla i framtiden.

HSV kategori
Forskningsprogram
Byggvetenskap
Identifikatorer
urn:nbn:se:kth:diva-342421 (URN)
Merknad

QC 20240118

Tilgjengelig fra: 2024-01-18 Laget: 2024-01-18 Sist oppdatert: 2024-03-15bibliografisk kontrollert
Sjölander, A., Belloni, V., Peterson, V. & Jonatan, L. (2023). Monitoring of structural performance of cracked reinforced concrete using DIC and CMfM. Mendeley Data
Åpne denne publikasjonen i ny fane eller vindu >>Monitoring of structural performance of cracked reinforced concrete using DIC and CMfM
2023 (engelsk)Dataset
Abstract [en]

This dataset contains data from three-point bending test of uncracked and cracked reinforced concrete in a laboratory environment.First, uncracked beams were tested to a load level close to the maximum capacity. The cracks were thereafter mapped before the beams were tested until failure. During the second test, the crack propagation was monitored using four fixed cameras and one non-fixed camera. The data contains measured force and displacement from the test, imagery from the fixed and non-fixed cameras as well as documentation of initial cracks and structural testing of reinforcement. A full description of the dataset is provided in the paper "Experimental dataset to assess the structural performance of cracked reinforced concrete using Digital Image Correlation techniques with fixed and moving cameras" published in Data in Brief.

sted, utgiver, år
Mendeley Data, 2023
Emneord
Experimental testing, Reinforced concrete, Monitoring of cracks, DIC, CMfM, Data for assessment of concrete
HSV kategori
Forskningsprogram
Byggvetenskap, Betongbyggnad; Geodesi och geoinformatik, Geoinformatik
Identifikatorer
urn:nbn:se:kth:diva-338760 (URN)10.17632/z3yc9z84tk.4 (DOI)
Prosjekter
TACK -Tunnel Automatic CracK Detection
Forskningsfinansiär
EU, Horizon 2020, 101012456Vinnova, InfraSweden 2030
Merknad

QC 20240102

Tilgjengelig fra: 2023-11-01 Laget: 2023-11-01 Sist oppdatert: 2024-01-02
Sjölander, A., Ansell, A. & Nordström, E. (2023). On the Design of Permanent Rock Support Using Fibre-Reinforced Shotcrete. Fibers, 11(2), 20
Åpne denne publikasjonen i ny fane eller vindu >>On the Design of Permanent Rock Support Using Fibre-Reinforced Shotcrete
2023 (engelsk)Inngår i: Fibers, E-ISSN 2079-6439, Vol. 11, nr 2, s. 20-Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Fibre-reinforced shotcrete (sprayed concrete) is one of the major components in the support system for tunnels in hard rock. Several empirical design methodologies have been developed over the years due to the complexity and many uncertainties involved in rock support design. Therefore, this paper aims to highlight how the choice of design methodology and fibre type impacts the structural capacity of the lining and the emission of greenhouse gases (GHG). The paper starts with a review of different design methods. Then, an experimental campaign is presented in which the structural performance of shotcrete reinforced with various dosages of fibres made of steel, synthetic and basalt was compared. A case study is presented in which the permanent rock support is designed based on the presented design methods. Here, only the structural requirements were considered, and suitable dosages of fibres were selected based on the experimental results. The emission of GHG was calculated for all design options based on environmental product declarations for each fibre type. The result in this paper indicates that synthetic fibres have the greatest potential to lower the emissions of GHG in the design phase. Moreover, the choice of design method has a significant impact on the required dosage of fibres.

sted, utgiver, år, opplag, sider
MDPI, 2023
Emneord
fibre-reinforcement, shotcrete, rock support, design methodology, experimental testing
HSV kategori
Forskningsprogram
Byggvetenskap, Betongbyggnad
Identifikatorer
urn:nbn:se:kth:diva-324216 (URN)10.3390/fib11020020 (DOI)000938731500001 ()2-s2.0-85148661762 (Scopus ID)
Forskningsfinansiär
Swedish Transport Administration
Merknad

QC 20230307

Tilgjengelig fra: 2023-02-23 Laget: 2023-02-23 Sist oppdatert: 2023-04-04bibliografisk kontrollert
Organisasjoner
Identifikatorer
ORCID-id: ORCID iD iconorcid.org/0000-0001-8375-581X