A reliability-aware framework for campaign-scale lunar construction logistics with space-elevator transshipment

Abstract Large-scale lunar construction requires campaign-level logistics models that distinguish route capacity, reliability, infrastructure commissioning, and transshipment constraints. We develop a reliability-aware three-node Earth–Apex–Moon framework comparing direct Earth–Moon transport, space-elevator (SE) transshipment, and hybrid operation. Analytical capacity bounds and nondimensional coordinates separate structural infeasibility from numerical non-acceptance and characterize architecture-regime transition regions. For a $$10^{8}\\,\\textrm{t}$$ stress-test target, the reference direct and transshipment-only construction times are $$8.01$$ and $$235.91$$ years, respectively. Of $$294$$ structured cases, $$223$$ are analytically feasible and $$197$$ satisfy the numerical acceptance criteria, yielding an $$88.3\\%$$ conditional acceptance rate. All $$48$$ transition cases retain their regime classifications under refined temporal discretization. Among $$500$$ accepted Latin-hypercube campaigns, the conditional design frequencies are $$10.8\\%$$ rocket-dominant, $$42.6\\%$$ mixed, and $$46.6\\%$$ SE-transshipment-dominant; reclassification under alternative thresholds preserves the coexistence of all three regimes. A $$36$$ -case onward-transport analysis further yields approximately $$2.00\\times 10^{3}$$ – $$7.79\\times 10^{3}$$ scheduled Apex–Moon operation-equivalents per year. These results show that transshipment dominance depends jointly on capacity, schedule, and reliability conditions rather than following intrinsically from the introduction of a space elevator.

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Publication Details

Journal
Scientific Reports
Published
2026-09-16
DOI
https://doi.org/10.1038/s41598-026-70408-6
Primary Topic
Space Satellite Systems and Control
Type
article
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article

A reliability-aware framework for campaign-scale lunar construction logistics with space-elevator transshipment

Qiurui Liu, Jiaqi Huang, Yong Wang
Scientific Reports
Space Satellite Systems and Control
article

A reliability-aware framework for campaign-scale lunar construction logistics with space-elevator transshipment

Qiurui Liu, Jiaqi Huang, Yong Wang
article en

Abstract

Abstract Large-scale lunar construction requires campaign-level logistics models that distinguish route capacity, reliability, infrastructure commissioning, and transshipment constraints. We develop a reliability-aware three-node Earth–Apex–Moon framework comparing direct Earth–Moon transport, space-elevator (SE) transshipment, and hybrid operation. Analytical capacity bounds and nondimensional coordinates separate structural infeasibility from numerical non-acceptance and characterize architecture-regime transition regions. For a $$10^{8}\,\textrm{t}$$ stress-test target, the reference direct and transshipment-only construction times are $$8.01$$ and $$235.91$$ years, respectively. Of $$294$$ structured cases, $$223$$ are analytically feasible and $$197$$ satisfy the numerical acceptance criteria, yielding an $$88.3\%$$ conditional acceptance rate. All $$48$$ transition cases retain their regime classifications under refined temporal discretization. Among $$500$$ accepted Latin-hypercube campaigns, the conditional design frequencies are $$10.8\%$$ rocket-dominant, $$42.6\%$$ mixed, and $$46.6\%$$ SE-transshipment-dominant; reclassification under alternative thresholds preserves the coexistence of all three regimes. A $$36$$ -case onward-transport analysis further yields approximately $$2.00\times 10^{3}$$ – $$7.79\times 10^{3}$$ scheduled Apex–Moon operation-equivalents per year. These results show that transshipment dominance depends jointly on capacity, schedule, and reliability conditions rather than following intrinsically from the introduction of a space elevator.

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Space Satellite Systems and Control
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A reliability-aware framework for campaign-scale lunar construction logistics with space-elevator transshipment — Qiurui Liu, Jiaqi Huang, et al. · Scientific Reports (2026) | TGRS Research Map | TGRS