Cost Overruns in Tunnelling Projects: Investigating the Impact of Geological and Geotechnical Uncertainty Using Case Studies

Paraskevopoulou, Chrysothemis; Boutsis, Georgios

doi:10.3390/infrastructures5090073

Cited by 21 publications

(6 citation statements)

References 37 publications

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“…This provides further guidelines for engineering design in terms of timelines for installation support. Allowing engineers and researchers to predict TTF at the excavation scale can lead to project and support optimizations in brittle rocks, reduction of uncertainties, e.g., [93][94][95][96][97][98] in the design while avoiding tunnel failures [99] and reduction or even overcoming of cost overruns, e.g., [100][101][102][103]. This model can be modified to calculate stresses and strains in three dimensions as well as for analysis along a longitudinal displacement profile for further tunnelling optimizations.…”

Section: Discussionmentioning

confidence: 99%

Time-Dependent Model for Brittle Rocks Considering the Long-Term Strength Determined from Lab Data

Innocente

Paraskevopoulou

Diederichs

2022

Mining

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The excavation of tunnels in brittle rocks with high in-situ strengths under large deviatoric stresses has been shown to exhibit brittle failure at the periphery of tunnels parallel to the maximum in-situ stress. This failure can either occur instantaneously or after several hours due to the strength degradation that is implicitly and indirectly considered in typical brittle constitutive models. While these models are powerful tools for engineering analyses, they cannot predict the time at which brittle rupture occurs, but rather, they show a possible failure pattern occurring instantaneously. In this paper, a model referred to as the long-term strength (LTS) model is introduced and implemented into FLAC2D. The model is built as a modified version of the CVISC model, introduced by Itasca, by adding a strength decay function. This function is developed from lab-scale time-to-failure (TTF) data. The LTS model is verified against its corresponding analytical solution using a constant stress creep lab test and implemented into a tunnel-scale model using the geometry, stress, and geologic conditions from the Atomic Energy of Canada Limited Underground Research Laboratory (AECL URL). The results of the LTS tunnel model are then compared to an identical model using the Cohesion Weakening Friction Strengthening (CWFS) approach.

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Section: Discussionmentioning

confidence: 99%

Time-Dependent Model for Brittle Rocks Considering the Long-Term Strength Determined from Lab Data

Innocente

Paraskevopoulou

Diederichs

2022

Mining

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“…A system for assessing the dynamic impact of transport was used by studying the oscillatory process using a set of sensors and recording equipment [14,15,16].…”

Section: Restoration Of Underground Water-carrying Communications In ...mentioning

confidence: 99%

Restoration of underground water-carrying structures damaged by external non-stationary impacts

Perminov

2023

E3S Web Conf.

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Object and purpose of the study: Underground aquiferous point and linear structures operated in difficult ground conditions lose their structural safety as a result of the influence of external forces and the environment. It is important to establish the features of the operation of underground aquifers and communications in an inhomogeneous enclosing soil massif, taking into account the interaction of structures with the ground in case of non-stationary force impacts and environmental impacts with an assessment of their structural safety. Methods: The use of analytical and experimental research methods to evaluate the work of structures in the soil mass, taking into account force influences and environmental influences. Results: The features of interaction of the housing of a collapsible pipe with a soil mass with a multidirectional horizontal component of a non-stationary load are established. The negative impact of the combination of the multidirectional impact of the power load and internal hydrostatic pressure on the structural safety of the housing of a prefabricated underground structure is shown. Practical significance and conclusions: The results obtained on the picture of the stress-strain state of an inhomogeneous enclosing soil massif allowed us to establish the nature and boundaries of the safe operation of structures and to make suggestions on the choice of ways to strengthen and protect underground structures, taking into account their operating conditions.

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“…A statistical study by Membah and Asa (2015) also showed that the complexity of tunneling processes and the uncertainty of geologic conditions are the top contributing factors that inflate tunnel construction costs. Paraskevopoulou and Boutsis (2020) presented a case study demonstrating that insufficient geological data can result in tunneling costs exceeding their budget by as much as 77%.…”

Section: Introductionmentioning

confidence: 99%

Shaping the future of tunneling with data and emerging technologies

Apoji,

Sheil,

Soga

2023

DCE

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The increase in global population and urbanization is presenting significant challenges to society: space is becoming increasingly scarce, demand is exceeding capacity for deteriorating infrastructure, transportation is fraught with congestion, and environmental impacts are accelerating. Underground space, and particularly tunnels, has a key role to play in tackling these challenges. However, the cost, risk, uncertainty, and complexity of the tunneling process have impeded its growth. In this paper, we envision several technological advancements that can potentially innovate and transform the mechanized tunneling industry, including artificial intelligence (AI), autonomous, and bio-inspired systems. The proliferation of AI may assist human engineers and operators in making informed decisions systematically and quantitatively based on massive real-time data during tunneling. Autonomous tunneling systems may enable precise and predictable tunneling operations with minimal human intervention and facilitate the construction of massive and large-scale underground infrastructure projects that were previously challenging or unfeasible using conventional methods. Bio-inspired systems may provide valuable references and strategies for more efficient tunneling design and construction concepts. While these technological advancements can offer great promise, they also face considerable challenges, such as improving accessibility to and shareability of tunneling data, developing robust, reliable, and explainable machine learning systems, as well as scaling the mechanics and ensuring the applicability of bio-inspired systems from the prototype level to real-world applications. Addressing these challenges is imperative to ensure the successful implementation of these innovations for future tunneling.

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Cost Overruns in Tunnelling Projects: Investigating the Impact of Geological and Geotechnical Uncertainty Using Case Studies

Cited by 21 publications

References 37 publications

Time-Dependent Model for Brittle Rocks Considering the Long-Term Strength Determined from Lab Data

Time-Dependent Model for Brittle Rocks Considering the Long-Term Strength Determined from Lab Data

Restoration of underground water-carrying structures damaged by external non-stationary impacts

Shaping the future of tunneling with data and emerging technologies

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