Construction And Building Materials AI Policy: ChatGPT and Generative AI Disclosure Rules for CBM Authors
Construction and Building Materials (Elsevier) requires AI disclosure under Elsevier rules. AI cannot be an author. This guide covers where to disclose, what to disclose, and the consequences of non-compliance for CBM submissions.
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Construction and Building Materials at a glance
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What makes this journal worth targeting
- IF 8.9 puts Construction and Building Materials in a visible tier, citations from papers here carry real weight.
- Scope specificity matters more than impact factor for most manuscript decisions.
- Acceptance rate of ~30-35% means fit determines most outcomes.
When to look elsewhere
- When your paper sits at the edge of the journal's stated scope, borderline fit rarely improves after submission.
- If timeline matters: Construction and Building Materials takes ~100-150 days median. A faster-turnaround journal may suit a grant or job deadline better.
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Quick answer: The Construction And Building Materials AI policy follows Elsevier's rules calibrated to construction-materials research with quantified mechanical-property characterization and engineering-application validation submissions.
AI tools can be used for manuscript preparation but substantive generative-AI use must be disclosed in the location the publisher requires; basic copy editing may be treated differently, with CBM's editorial team checking specifics during submission screening or review. AI cannot be listed as an author of any CBM paper. AI-generated figures and schematics representing original research data are prohibited under CBM's image-integrity standard.
Construction and Building Materials (Elsevier) editors can treat undisclosed substantive AI use as a publication-ethics problem, with the response depending on the publisher policy, the timing, and whether the scientific record is affected.
Run the CBM submission readiness check which includes an automated AI-disclosure audit, or work through this guide manually. Need broader context? See the CBM journal overview.
The Manusights CBM readiness scan. This guide tells you what Construction and Building Materials (Elsevier)'s editors look for when verifying AI disclosure at desk-screen. The scan tells you whether your manuscript has the disclosure language required by the current journal policy before you submit. We have reviewed manuscripts targeting Construction and Building Materials (Elsevier) and peer venues; the named patterns below are the same ones Elsevier's AI policy framework flags at the desk-screen and editorial-board consultation stages.
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Editorial detail (for desk-screen calibration). Verify the current Editor-in-Chief and handling-editor list on the journal's editorial-team page before quoting any name in a submission cover letter. Submission portal: Editorial Manager submission portal. Manuscript constraints: 300-word abstract limit and 8,000-word main-text cap (CBM enforces during desk-screen).
We reviewed Elsevier's AI policy framework against current CBM author guidelines (accessed 2026-05-08); evidence basis includes both publicly documented Elsevier policy and our internal anonymized submission corpus. The applicable word limit at CBM is shown below: 300-word abstract limit and 8,000-word main-text cap (CBM enforces during desk-screen).
The manuscript word limit at this journal is 8,000 words for main text (verify article-type-specific caps in the latest author guidelines). The named editorial-culture quirk: CBM reviewers expect quantified mechanical-property data with explicit comparison to engineering codes (ASTM, EN).
What does Construction and Building Materials (Elsevier)'s AI policy require?
CBM authors should check four policy areas under Elsevier's current AI framework before submission: disclosure of any AI tool used in manuscript preparation, the prohibition on listing AI as an author, the ban on AI-generated figures that represent original research data, and the disclosure expectations that apply when AI is used during peer review. The four rules below map to those areas. Each one is enforced through the publisher's policy framework rather than a CBM-specific document, so the safe default is to read them as Elsevier-wide standards that the CBM editorial team applies at desk-screen.
Rule 1: Disclose every AI tool used in manuscript preparation
Authors should document substantive generative-AI use with the tool name, version or access date, and how it was used. Use the disclosure location specified by the current publisher policy, often Methods or a dedicated AI-use statement, rather than burying it in the cover letter. Examples that REQUIRE disclosure at CBM:
- For CBM-targeted manuscripts addressing construction-materials research with quantified mechanical-property characterization and engineering-application validation: using ChatGPT, Claude, Gemini, or similar to draft, polish, or edit manuscript text passing through CBM editorial review
- For CBM submissions: using AI to generate boilerplate text for limitations, ethics statements, or CBM-specific response-to-reviewers letters that cite Elsevier's framework
- For Construction and Building Materials (Elsevier) submissions: using AI to translate manuscript text into English from another language, with Elsevier expecting disclosure of the source language and translation chain
- For CBM literature reviews: using AI for citation discovery or summarizing prior CBM work; Elsevier's policy applies regardless of citation context
- For CBM analytical pipelines: AI-assisted code generation requires Methods or code disclosure under the current publisher policy, particularly when code affects analysis
Examples that do NOT require AI disclosure:
- At CBM, using grammar/spell checkers (Word) for line-level edits, when used without generative AI features for new manuscript content
- For CBM submissions, using reference managers (Zotero, EndNote) for citation formatting against Elsevier's style guide
- For Construction and Building Materials (Elsevier) statistical analysis, using established statistical software (R, Stata, SPSS) where the algorithm is the established tool documented in CBM's methodological norm, not a generative AI
Rule 2: AI cannot be an author
No AI tool can be listed as an author of a CBM paper, particularly for construction-materials research with quantified mechanical-property characterization and engineering-application validation-class submissions. Under Elsevier's policy: authorship requires the ability to take responsibility for the content, agree to be accountable for accuracy, and to consent to publication. AI tools cannot do any of these in CBM's editorial framework. This rule is consistent across all Elsevier-published journals and applied at CBM's desk-screen.
Rule 3: AI-generated figures are prohibited for original research data
Construction and Building Materials (Elsevier) editorial team does not accept AI-generated images, figures, or schematics that represent original research data in construction-materials research with quantified mechanical-property characterization and engineering-application validation-class submissions. AI tools may assist with figure layout (axis labeling, color schemes) but the underlying data visualization must come from the actual research. AI-generated diagrams used for conceptual illustrations (e.g., a schematic of a hypothesized mechanism) require explicit disclosure and a statement that the diagram is conceptual.
Rule 4: Disclose AI use in peer review participation
Reviewer AI-use rules are publisher-specific and can change quickly. Reviewers must follow the journal's confidentiality and AI-use policy; authors should not assume that reviewer-side AI rules are identical across journals in the same portfolio.
How does Construction and Building Materials (Elsevier)'s AI policy compare to peer journals?
Rule | CBM stance | Elsevier default | Policy basis |
|---|---|---|---|
AI authorship | Prohibited | Prohibited | Authorship/accountability |
Disclosure location | Methods section | Methods section | Authorship/accountability |
AI-generated figures | Prohibited for original data | Prohibited | Image-integrity guidance |
Reviewer AI use | Disclosure required | Disclosure required | Peer-review confidentiality guidance |
Enforcement intensity | Desk-screen check | Desk-screen check | Submission-stage policy check |
Source: Elsevier author instructions (accessed 2026-05-08) plus CBM author guidelines.
What does AI disclosure look like in a CBM Methods section?
Acceptable disclosure language for CBM submissions:
"For our construction-materials research with quantified mechanical-property characterization and engineering-application validation-focused manuscript at CBM, we used ChatGPT-4o (OpenAI, version dated October 2024) to polish English-language phrasing in the Introduction and Discussion sections. We did not use generative AI for data analysis, figure generation, or substantive manuscript content. All authors reviewed and edited the AI-assisted text and take responsibility for the final manuscript."
Or, for AI-assisted code:
"For this CBM submission addressing construction-materials research with quantified mechanical-property characterization and engineering-application validation, initial Python code for the Bayesian regression analysis was drafted with Claude 3.5 Sonnet (Anthropic, version dated December 2024). All code was reviewed, modified, and validated by the authors before use; the final version is available at [repository URL]. Statistical inference was performed using the established R package brms."
What does NOT pass CBM's desk-screen:
- For CBM addressing construction-materials research with quantified mechanical-property characterization and engineering-application validation: "AI tools were used in manuscript preparation." Too vague for Elsevier editorial review of CBM submissions; the CBM editorial team needs the specific tool name, version, and specific use case
- "We acknowledge AI assistance in the Acknowledgments." (Do not rely on this location unless the current journal policy explicitly allows it.)
- "ChatGPT helped write this paper." (Insufficient detail on use case)
- No disclosure when AI was used (publication-ethics violation)
Desk-screen risks we see before submission
For CBM-targeted manuscripts, the patterns below are common AI-policy risk areas to check against the publisher's current guidance before submission. Of the manuscripts we screened in 2025 targeting CBM and peer venues, the patterns below are common policy-risk areas we see in submissions and check against the publisher's current guidance.
AI disclosure missing despite obvious AI-assisted phrasing. Substantive AI-assisted drafting without a required disclosure can trigger an editorial query. Check whether your manuscript reads as AI-assisted
AI disclosure placed in the wrong manuscript location. CBM editorial team flags this as a common mistake against construction-materials research with quantified mechanical-property characterization and engineering-application validation submissions. Publisher policies differ on whether AI disclosure belongs in Methods, a dedicated AI-use statement, acknowledgments, or another manuscript section. A misplaced disclosure can create an avoidable submission query. Check whether your AI disclosure is in the right section
Generic disclosure language without tool name and version. CBM editorial team requires the specific tool, its version (or access date), and the specific use case. "AI tools were used" without specifics gets returned. Check whether your AI disclosure has the required specificity
What is the CBM AI-policy compliance timeline?
Stage | Duration | What happens |
|---|---|---|
Author drafts AI disclosure | 30-60 minutes | Identify all AI use, gather tool versions, write Methods paragraph |
Co-author review of disclosure | 1-2 days | All authors confirm the disclosure is complete and accurate |
Editorial desk-screen check | 1-2 weeks | CBM's editorial team checks the disclosure against the manuscript when policy review is triggered |
Editorial query (if disclosure incomplete) | 5-10 days | Editor requests revision before sending to peer review |
Reviewer AI-disclosure check | During peer review | Reviewers verify the disclosure matches the manuscript style |
Source: Manusights internal review of CBM-targeted submissions, 2025 cohort.
Submit If
- For Construction and Building Materials (Elsevier) submissions on construction-materials research with quantified mechanical-property characterization and engineering-application validation: the manuscript documents substantive generative-AI use with the tool name, version or access date, specific use case, and disclosure location required by the current journal policy
- For CBM: no AI tool is listed as an author; all listed authors meet authorship criteria and take responsibility for the final manuscript
- For Construction and Building Materials (Elsevier): figures and schematics representing original research data come from the actual research, with any AI-assisted image or figure workflow checked against the current journal image policy
- For CBM submissions: the disclosure makes clear that human authors reviewed the AI-assisted material and take responsibility for the final manuscript
Readiness check
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Think Twice If
- The manuscript contains substantive AI-assisted drafting but no disclosure; this can trigger an editorial query if the journal requires disclosure for that use case.
- The AI disclosure is placed in a section the current journal policy does not recognize.
- The disclosure language is generic without naming the tool, version or access date, and use case; journals may query or return manuscripts with this gap.
- Any figure, schematic, or image workflow used generative AI without being checked against the current journal image policy.
Manusights submission-corpus signal for Construction and Building Materials (Elsevier).
Of the manuscripts our team screened before submission to CBM and peer venues in 2025, the AI-policy compliance gap most consistent across the cohort is generic disclosure language without tool-version specificity. In our analysis of anonymized CBM-targeted submissions, manuscripts with complete AI disclosure (tool name, version, specific use case, all-author confirmation) clear desk-screen at the same rate as manuscripts without AI use; manuscripts with incomplete or missing disclosure trigger editorial queries that add 1-2 weeks to the timeline.
Construction and Building Materials (Elsevier) follows the publisher's public AI policy, but authors should verify the current journal page before submission because AI-use rules, disclosure locations, and image guidance continue to change.
What can CBM authors do to stay ahead of AI policy changes?
Elsevier's AI policy framework continues to evolve as 2026 brings new ICMJE recommendations, COPE guidance refinements, and journal-specific clarifications. CBM authors targeting construction-materials research with quantified mechanical-property characterization and engineering-application validation submissions should track three signals throughout 2026:
Quarterly policy updates from Elsevier. The publisher's public AI policy guidance is updated over time. CBM authors who pre-register their disclosure language at submission time tend to face fewer revisions during the 2026 transition period than authors who write boilerplate disclosures.
Field-specific clarifications for construction-materials research with quantified mechanical-property characterization and engineering-application validation. Different research domains see different AI use patterns. CBM's editorial team has been refining what counts as "substantive AI use" versus "ancillary AI assistance" for construction-materials research with quantified mechanical-property characterization and engineering-application validation work. Authors who err on the side of more disclosure rather than less avoid the publication-ethics gray zone.
Reviewer disclosure norms. As Elsevier extends AI-disclosure rules to peer reviewers, the response rate from CBM reviewers may shift. Authors should expect that CBM reviewers' use of AI tools is now also disclosed and factored into editorial decisions.
- Manusights internal preview corpus (2025 cohort)
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Frequently asked questions
Yes, with policy-required disclosure. Construction and Building Materials (Elsevier) follows Elsevier's current AI policy and broader publication-ethics guidance. AI tools can be used for language editing, manuscript preparation, and analysis support, but substantive generative-AI use must be disclosed in the location the publisher requires; basic copy editing may be treated differently. AI cannot be listed as an author, and human authors bear full responsibility for the content.
Use the disclosure location required by the current journal policy. For substantive generative-AI use, name the tool, version or access date, and use case, and make clear that human authors reviewed the final content. The journal may check this during submission screening, peer review, or production.
No. Construction and Building Materials (Elsevier) prohibits AI-generated figures, schematics, and images intended to represent original research data. AI tools may assist with figure layout and labeling, but the underlying data and visualizations must come from the actual research. This rule is part of Elsevier's broader image-integrity policy.
CBM can treat undisclosed substantive AI use as a publication-ethics problem. The response depends on the publisher policy, the timing, and whether the scientific record is affected.
The shared publisher-level policy usually covers AI authorship, disclosure, and image or figure restrictions. Journal-specific guidance can differ in disclosure location, article-type expectations, and how the policy is checked during screening.
Sources
- Elsevier AI policy (accessed 2026-05-08)
- CBM author guidelines (accessed 2026-05-08)
- ICMJE recommendations on AI use (accessed 2026-05-08)
- COPE guidance on AI in research publication (accessed 2026-05-08)
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