CO2 emissions during the construction of a large diameter tunnel with a slurry shield TBM

Li, Q; Li, L; Bai, Yun

doi:10.1201/b14769-31

Cited by 6 publications

(8 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Further, to obtain an accurate result for carbon emissions, it is necessary to use the input-output method to revise the process analysis method, adopting the above methods to calculate the same ring carbon emissions in an interval; and according to the calculation results, to revise the carbon emissions factors. Equations (1)-( 5) provide the basic formula for the modified process analysis method of calculation [24].…”

Section: Calculation Methodsmentioning

confidence: 99%

See 1 more Smart Citation

A Modified Process Analysis Method and Neural Network Models for Carbon Emissions Assessment in Shield Tunnel Construction

Wang

Kou

et al. 2023

Sustainability

View full text Add to dashboard Cite

This paper proposes a modified process analysis method that combines with the input–output method for carbon emissions assessment in slurry shield tunnel construction. The method was applied to analyze the carbon emissions generated during the construction procedures of a slurry shield tunnel. The results indicate that the carbon emissions from building materials account for the majority of the total emissions, while those from the shield machine and construction procedure are relatively small. In addition, BP and CNN-LSTM neural network models were established to validate the accuracy of the calculation results with model error of 0.1031. Finally, recommendations for reducing carbon emissions in the construction course of slurry shield tunnels are provided.

show abstract

Section: Calculation Methodsmentioning

confidence: 99%

“…The construction CO 2 emissions are mainly the sum of CO 2 emissions from electricity consumption, water consumption and transportation. A large part of it is related to construction equipment, and the CO 2 emissions calculation of the equipment is mainly performed for the operation period during construction [24].…”

Section: Shield Tunnelingmentioning

confidence: 99%

A Modified Process Analysis Method and Neural Network Models for Carbon Emissions Assessment in Shield Tunnel Construction

Wang

Kou

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…Choosing the right model for operating and maintaining the equipment not only determines the tunnel construction schedule, but also directly affects the safety of personnel at the construction site. Equipment risks include failure of the pipe assembly, failure of the jacking system, failure of the grouting system, mismatch of the operation model selection, consumption of disc cutters, and failure of the shield tail seal [1,7,13].…”

Section: Equipment Riskmentioning

confidence: 99%

“…A Tunnel Boring Machine (TBM) is a large-scale special type of equipment for modern tunnel construction that integrates machinery, electrical appliances, hydraulics, guidance, sensing, and information technology. Compared with the traditional drilling and blasting method, a TBM has the characteristics of being fast, being efficient, quality assurance, and high-level safety [1,2]. This provides advanced equipment and methods for the construction of long-distance water conveying tunnels under complex geological conditions [3,4], especially in conditions of tunnel with high geostress [5].…”

Section: Introductionmentioning

confidence: 99%

Safety-Risk Assessment for TBM Construction of Hydraulic Tunnel Based on Fuzzy Evidence Reasoning

Zhang

Wang

et al. 2022

Processes

View full text Add to dashboard Cite

Due to multiple factors influencing the construction safety of TBM hydraulic tunnels, risk assessment is a critical point of a construction management plan to avoid possible risks. In this paper, a safety-risk evaluation index system of TBM construction for hydraulic tunnels is built based on the identification and analysis of possible sources of risk in techniques, geologic, equipment, management, and accidents. Considering the influence of factors such as the experience level and the expertise of decision makers, a combination assignment method of index weights is proposed based on binary semantics. On the basis of a fuzzy normal distribution used as the subordinate function distribution of fuzzy evaluation levels, the subordinate function distribution of fuzzy evaluation levels under multi-level intersection situations is introduced, and a comprehensive evaluation model of safety risks for TBM tunnel construction is built. The validity and practicality of the evaluation model is examined with the combination of a long-distance water conveyance tunnel project. Results show that the construction safety-risk of the TBM hydraulic tunnel project belongs to the middle-high level, and the safety accident risk belongs to the low level. The study provides guidance of evaluation and control of risks for this tunneling construction being successfully completed.

show abstract

“…In order to measure the quantity of carbon emissions, the aforementioned factors have been studied and carbon emission models have been established based on different considerations and calculation methods. Based on the simulation methods applied, carbon emission models can be classified into average speed and operating condition models [1][2][3].…”

Section: Introduction Imentioning

confidence: 99%

Association of Carbon Emissions and Expressway Longitudinal Slope in Northern China

Jia¹,

Xu²,

Liu³

2017

JRST

View full text Add to dashboard Cite

ABSTRACT:In Northern China, heavy trucks are common on highways. Vehicles traveling on longitudinal sections of expressways produce higher carbon emissions. Current carbon emission models include the vehicular operating conditions, but do not reveal the influence of highway alignment conditions, such as the longitudinal gradient and slope length, on emissions. To address this problem, this study attempts to relate the design parameters of longitudinal roadway segments with carbon emissions, as derived from diesel fuel consumption data, using an iterative nonlinear multiple regression method. Diesel fuel consumption data were collected through field tests along two typical overloaded expressways in China's coal-producing regions. The associated carbon emission data were calculated using the method defined by the Intergovernmental Panel on Climate Change. Using this data, a carbon emission prediction model was developed that related carbon emissions with roadway segment gradients, segment slope length, and initial vehicle speed. The proposed model was verified using the field test data. A relative error of 4.9% between predicted and observed data suggested high accuracy and applicability for the proposed prediction model.

show abstract

CO2 emissions during the construction of a large diameter tunnel with a slurry shield TBM

Cited by 6 publications

References 4 publications

A Modified Process Analysis Method and Neural Network Models for Carbon Emissions Assessment in Shield Tunnel Construction

A Modified Process Analysis Method and Neural Network Models for Carbon Emissions Assessment in Shield Tunnel Construction

Safety-Risk Assessment for TBM Construction of Hydraulic Tunnel Based on Fuzzy Evidence Reasoning

Association of Carbon Emissions and Expressway Longitudinal Slope in Northern China

Contact Info

Product

Resources

About