Framework for pavement strains, embodied energy, carbon footprint for pavement maintenance types
舗装保守タイプにおける舗装ひずみ、エネルギー消費、炭素フットプリントの枠組み (AI 翻訳)
T. Y. Parnika, V. Anjaneyappa, M. R. Archana, S. M. Basutkar, B. Pradeep
🤖 gxceed AI 要約
日本語
本研究では、インド国道の保守戦略（予防保守、再舗装、補強、更新、再建）について、埋め込みエネルギー（EE）、カーボンフットプリント（CF）、舗装ひずみ応答を評価。840kmの州道ネットワークを対象に、材料生産がEEの約88%、CFの87%を占めることを示した。予防保守が最も環境負荷が低く、厚い舗装ほどひずみ低減に効果的だが、EEとCFが増加する。
English
This study evaluates embodied energy (EE), carbon footprint (CF), and pavement strain responses for different maintenance strategies on an 840 km highway network in India. Material production accounts for ~88% of EE and ~87% of CF. Preventive maintenance has the least environmental burden, while thicker pavements reduce strain but increase EE and CF.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本の道路維持管理は高度経済成長期のインフラ更新期に入り、CO2排出削減と構造性能の両立が課題。本論文はLCAに基づく意思決定支援手法を提供し、国土交通省の道路ストック管理や自治体の維持計画に示唆を与える。
In the global GX context
This paper provides a practical LCA framework linking pavement structural performance to carbon footprint, relevant for infrastructure agencies worldwide. It highlights the trade-off between thicker pavements for durability and their higher embodied emissions, informing sustainable asset management.
👥 読者別の含意
🔬研究者:Offers a methodology integrating structural and environmental assessment for pavement maintenance, useful for LCA scholars.
🏢実務担当者:Road agencies and contractors can use the findings to prioritize low-impact maintenance strategies like preventive treatments.
🏛政策担当者:Supports development of green procurement guidelines and carbon budgeting for infrastructure maintenance.
📄 Abstract（原文）
Sustainable pavement maintenance planning requires a balanced consideration of both structural performance and environmental impacts. In this study, embodied energy (EE), carbon footprint (CF), and pavement strain responses are evaluated for different maintenance strategies recommended in Indian Roads Congress (IRC) guidelines, including preventive maintenance, resurfacing, strengthening, rehabilitation, and reconstruction. The analysis is carried out on an 840 km state highway network in Ramanagara district, India, using distress data obtained from ROMDAS and deflection data from Falling Weight Deflectometer (FWD) surveys at 500 m intervals. These datasets were used to derive layer moduli and compute critical strain responses through IITPave. The results indicate that material production is the primary contributor to environmental impact, accounting for nearly 88% of total EE and 87% of total CF. Transportation contributes around 10–10.5%, while construction activities such as laying and compaction have a relatively minor share. Among the maintenance options, preventive treatments show the least environmental burden, highlighting the benefit of timely intervention. In contrast, more intensive treatments such as strengthening, rehabilitation, and reconstruction result in progressively higher energy use and emissions. The relationship between pavement thickness and strain response was further examined across different Pavement Condition Index (PCI) levels. It was observed that reducing critical strain levels requires higher structural capacity, which significantly increases both EE and CF. Overall, the study brings out a clear connection between structural performance and environmental impact, supporting more informed and sustainable decision-making in pavement maintenance.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1007/s43621-026-03778-6first seen 2026-06-23 05:39:18
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